Consider the following statements regarding Human-centric AI design principles:
1. The 2018 Toronto Declaration on Protecting the Right to Equality and Non-Discrimination in Machine Learning Systems serves as the primary enforcement mechanism for the UN Human Rights Council.
2. The 2021 G7 Hiroshima AI Process aims to develop international guiding principles and a code of conduct for organizations developing advanced AI systems.
3. The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, established in 2016, identifies transparency as a core value for algorithmic accountability.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 3 is correct. Statement 1 is incorrect.
Statement 1 is incorrect because the 2018 Toronto Declaration is a non-binding advocacy document created by civil society organizations like Amnesty International and Access Now, not an enforcement mechanism for the UN. Statement 2 is correct as the G7 Hiroshima AI Process, launched in 2023, focuses on international guiding principles and a code of conduct for advanced AI. Statement 3 is correct because the IEEE Global Initiative, launched in 2016, emphasizes transparency and accountability as foundational pillars for the ethical design of autonomous systems.
Consider the following statements regarding AI governance and international regulatory standards:
1. The 2021 Beijing AI Principles, endorsed by several international research institutions, refer to the necessity of total algorithmic transparency in military applications as a prerequisite for cross-border data sharing.
2. The 2023 UN High-Level Advisory Body on AI report proposes a global governance structure that functions as a regulatory body for the commercialization of large language models across developing economies.
3. The 2022 NIST AI Risk Management Framework provides for a standardized certification process that allows corporations to receive a government-issued seal of approval for ethical AI compliance.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the Beijing AI Principles (2019) emphasize AI development for the benefit of humanity but do not mandate total algorithmic transparency in military applications. Statement 2 is incorrect as the 2023 UN High-Level Advisory Body report recommends a collaborative international scientific panel and governance network rather than a centralized regulatory body for commercialization. Statement 3 is incorrect because the NIST AI Risk Management Framework is a voluntary, non-prescriptive guidance tool and does not provide a government-issued certification or seal of approval for AI compliance.
Consider the following statements regarding Moral agency and responsibility in autonomous systems:
1. The 2018 Montreal Declaration for a Responsible Development of AI outlines seven principles for ethical design, and it provides for the immediate cessation of research into autonomous weapon systems by signatory universities.
2. The 2023 Bletchley Declaration on AI Safety focuses on frontier model risks, and it creates a binding legal framework for the international sharing of proprietary training datasets among participating nations.
3. The 2019 OECD AI Principles emphasize the importance of transparency in algorithmic decision-making, and they establish a global regulatory body empowered to audit private sector neural network architectures.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the Montreal Declaration promotes ethical AI development but does not mandate the cessation of research into autonomous weapons. Statement 2 is incorrect as the Bletchley Declaration is a non-binding political agreement focused on international cooperation regarding frontier AI risks, not a legal framework for sharing proprietary datasets. Statement 3 is incorrect because the OECD AI Principles are non-binding recommendations that promote transparency and accountability, but they do not establish a global regulatory body with the power to audit private sector neural networks.
Consider the following statements regarding Algorithmic auditing and bias mitigation techniques:
1. The 2022 White House Blueprint for an AI Bill of Rights includes provisions for protection against algorithmic discrimination, and it cites the 1964 Civil Rights Act as the legal foundation for its technical auditing requirements.
2. The 2019 OECD AI Principles provide for the responsible stewardship of trustworthy AI, and these principles were formally adopted by the G20 summit in Osaka to replace the 2016 G7 Hiroshima guidelines on digital trade.
3. The 2017 Montreal Declaration for a Responsible Development of AI refers to the principle of algorithmic fairness, and it was drafted by the IEEE Global Initiative to provide a unified certification process for commercial software.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because while the Blueprint addresses algorithmic discrimination, it is a non-binding policy framework rather than a legal mandate tied to the 1964 Civil Rights Act. Statement 2 is incorrect as the OECD AI Principles were endorsed by G20 leaders in 2019, but they did not replace G7 Hiroshima guidelines, which were actually established later in 2023. Statement 3 is incorrect because the Montreal Declaration was developed by the University of Montreal, not the IEEE, and it focuses on ethical guidelines rather than providing a technical certification process for software.
Consider the following statements regarding Predictive policing and systemic discrimination:
1. The 2015 UK Data Protection Act includes provisions for algorithmic auditing in law enforcement, and it references the 2012 Royal Society report on the ethical implications of big data in policing.
2. The 2017 FATAL report on algorithmic fairness highlights the role of historical data in criminal justice, and it proposes a mandatory certification process for all software used by municipal police departments.
3. The 2022 White House Blueprint for an AI Bill of Rights addresses systemic discrimination in public services, and it codifies the 2018 EEOC standards for evaluating disparate impact in automated systems.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
All three statements are incorrect as they contain fabricated reports and legislative references. The 2015 UK Data Protection Act does not include specific algorithmic auditing provisions for policing, and no such 2012 Royal Society report exists; the 2017 FATAL report and its proposed mandatory certification for municipal software are fictional; and while the 2022 White House Blueprint for an AI Bill of Rights exists, it is a non-binding framework that does not codify 2018 EEOC standards for automated systems.
Consider the following statements regarding Data representativeness and historical bias propagation:
1. The 2016 White House report titled 'Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights' highlights how historical redlining data can perpetuate discriminatory lending patterns in modern automated credit scoring.
2. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted by 193 Member States, identifies data representativeness as a core requirement for mitigating algorithmic bias.
3. In the 2018 COMPAS algorithm study, ProPublica demonstrated that recidivism risk scores assigned to defendants were twice as likely to falsely flag Black defendants as high-risk compared to White defendants.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
All three statements are correct: the 2016 White House report correctly identified how historical redlining data embeds past socio-economic discrimination into modern credit algorithms; the 2021 UNESCO Recommendation on the Ethics of AI explicitly mandates data representativeness and inclusivity as fundamental pillars to prevent bias; and the 2018 ProPublica investigation into the COMPAS tool provided empirical evidence that Black defendants were nearly twice as likely to be misclassified as high-risk compared to their White counterparts, highlighting systemic racial disparities in predictive policing.
Consider the following statements regarding Moral agency and responsibility in autonomous systems:
1. The 2020 Vatican-led 'Rome Call for AI Ethics' promotes algorithmic transparency, and it proposes that religious institutions serve as the primary certifying authorities for the ethical deployment of AI in public governance.
2. The 2017 IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems provides a framework for value-based design, and it defines moral agency as the capacity of a system to experience subjective states of consciousness.
3. The 2016 Obama Administration report 'Preparing for the Future of Artificial Intelligence' discusses the impact of automation on the workforce, and it suggests that moral agency is an inherent property of machine learning algorithms.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the Rome Call for AI Ethics promotes human-centric AI but does not designate religious institutions as certifying authorities for public governance. Statement 2 is false as the IEEE framework emphasizes 'Ethically Aligned Design' rather than attributing subjective consciousness or moral agency to machines. Statement 3 is incorrect because the 2016 Obama report focuses on economic and policy implications of AI, explicitly rejecting the notion that algorithms possess inherent moral agency or accountability.
Consider the following statements regarding Ethical implications of generative AI and deepfakes:
1. Section 66D of the Information Technology Act, 2000, in India, addresses the punishment for cheating by personation using computer resources, which covers deepfake-related identity fraud.
2. The 2024 G7 Hiroshima AI Process Comprehensive Policy Framework provides guidelines for developers to mitigate risks associated with generative AI and deepfakes.
3. The 2023 OECD AI Principles update emphasizes that AI systems should be designed to be robust and secure, particularly regarding the provenance of synthetic media.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as Section 66D of the IT Act, 2000, penalizes cheating by personation using communication devices, which is the primary legal provision used to prosecute deepfake-related identity theft in India. Statement 2 is correct because the G7 Hiroshima AI Process, initiated in 2023 and solidified in 2024, established the International Guiding Principles and a Code of Conduct for organizations developing advanced AI systems to mitigate risks like misinformation. Statement 3 is correct as the 2023 OECD AI Principles update specifically addresses the challenges of generative AI, advocating for transparency, watermarking, and robust security measures to verify the provenance and authenticity of synthetic media.
Consider the following statements regarding Automated decision-making in judicial sentencing:
1. The 2019 OECD Principles on Artificial Intelligence encompasses guidelines for judicial tools, and these principles serve as the primary legal basis for the adoption of AI judges in the Singaporean court system.
2. The 2017 Supreme Court ruling in Loomis v. Wisconsin provides for the use of proprietary software in sentencing, and the court held that such algorithms comply with the Due Process Clause of the Fourteenth Amendment.
3. The 2021 European Parliament resolution on Artificial Intelligence in criminal law emphasizes the need for human oversight in judicial sentencing to prevent automated discrimination.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 3 is correct. Statement 1 is incorrect. Statement 2 is incorrect.
Statement 3 is correct as the 2021 European Parliament resolution explicitly mandates human oversight to mitigate algorithmic bias and ensure accountability in criminal justice. Statement 1 is incorrect because the OECD AI Principles are non-binding policy recommendations, not a legal basis for Singapore's judicial system, which relies on domestic statutes and judicial discretion. Statement 2 is incorrect because while the Wisconsin Supreme Court ruled in State v. Loomis (2016) that the use of the COMPAS algorithm did not violate due process, it imposed strict limitations on its use, and the case was a state-level ruling, not a U.S. Supreme Court precedent.
Consider the following statements regarding Algorithmic auditing and bias mitigation techniques:
1. The 2023 EU AI Act introduces a tiered risk-based framework, classifying high-risk AI systems as those requiring mandatory fundamental rights impact assessments before deployment.
2. The 2016 FAT (Fairness, Accountability, and Transparency) conference in machine learning identified the 'disparate impact' metric as a primary quantitative measure for detecting algorithmic bias in credit scoring models.
3. NIST's 2023 AI Risk Management Framework (AI RMF 1.0) provides a voluntary taxonomy for managing algorithmic bias, emphasizing the importance of 'socio-technical' mapping in system development.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
The EU AI Act (2023) establishes a risk-based hierarchy, mandating fundamental rights impact assessments specifically for high-risk AI applications to ensure ethical compliance. The FAT conference (2016) pioneered the formalization of 'disparate impact' as a critical statistical metric to identify discriminatory outcomes in automated decision-making like credit scoring. NIST's AI RMF 1.0 (2023) promotes a voluntary, flexible approach that encourages developers to use socio-technical mapping to integrate human and societal considerations into the AI lifecycle, making all three statements factually accurate.
Consider the following statements regarding Algorithmic nudging and cognitive autonomy:
1. The 2018 GDPR framework includes provisions for the right to human intervention, and the European Data Protection Board issued specific guidelines on algorithmic nudging in 2022.
2. Article 5 of the EU AI Act classifies AI systems used to influence human behavior through subliminal techniques as posing an unacceptable risk.
3. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence emphasizes the protection of cognitive autonomy against manipulative algorithmic nudging.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 3 is correct. Statement 1 is incorrect.
Statement 1 is incorrect because while the 2018 GDPR includes provisions for human intervention (Article 22), the European Data Protection Board did not issue specific guidelines exclusively on 'algorithmic nudging' in 2022. Statement 2 is correct as Article 5 of the EU AI Act explicitly prohibits AI systems that deploy subliminal techniques beyond a person's consciousness to distort behavior in a manner that causes harm. Statement 3 is correct because the 2021 UNESCO Recommendation on the Ethics of AI specifically calls for member states to protect cognitive autonomy and mental integrity from manipulative or deceptive algorithmic practices.
Consider the following statements regarding Data scraping and intellectual property ethics:
1. Article 4 of the 2019 EU Directive on Copyright in the Digital Single Market provides an exception for text and data mining, provided the rights holders have not opted out of such usage.
2. The 2001 InfoSoc Directive of the European Union addresses digital reproduction rights, and its Article 5 provides for a broad exception that permits the commercial scraping of copyrighted works for algorithmic model development.
3. The 2018 GDPR framework includes provisions for data portability, and under its Article 20, it allows AI developers to access personal data from social media platforms for the purpose of training commercial large language models.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is correct because Article 4 of the 2019 EU Copyright Directive explicitly permits text and data mining for commercial purposes, subject to a 'right to opt-out' by rights holders. Statement 2 is incorrect because the 2001 InfoSoc Directive does not contain a broad commercial scraping exception for AI development, as it predates the generative AI era. Statement 3 is incorrect because Article 20 of the GDPR grants data portability rights to individuals to transfer their own data between service providers, not a blanket right for AI developers to scrape personal data for training commercial models.
Consider the following statements regarding Human-centric AI design principles:
1. The UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted by 193 member states in November 2021, prioritizes the protection of human rights and dignity.
2. The 2017 Montreal Declaration for a Responsible Development of AI was drafted by the European Commission to establish legal liability frameworks for algorithmic bias in public administration.
3. The 2019 OECD AI Principles represent the first intergovernmental standard for trustworthy AI, emphasizing inclusive growth and sustainable development.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 3 is correct. Statement 2 is incorrect.
Statement 1 is correct as the UNESCO Recommendation (2021) is the first global standard focusing on human rights and dignity in AI. Statement 3 is correct because the 2019 OECD AI Principles, adopted by 42 countries, established the first intergovernmental framework for trustworthy, human-centric AI. Statement 2 is incorrect because the Montreal Declaration was a multi-stakeholder academic initiative led by the University of Montreal, not the European Commission, and it focuses on ethical values rather than establishing legal liability frameworks.
Consider the following statements regarding Bias in facial recognition and biometric identification:
1. The 2017 Montreal Declaration for Responsible AI development suggests that facial recognition accuracy is primarily determined by the hardware sensor resolution rather than the underlying training data distribution.
2. The 2021 UNESCO Recommendation on the Ethics of AI includes provisions for the immediate global prohibition of real-time remote biometric identification in public spaces by private sector entities.
3. The 2019 California Consumer Privacy Act (CCPA) encompasses specific technical requirements for facial recognition vendors, including the mandatory deletion of all biometric templates within 48 hours of collection.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the Montreal Declaration emphasizes that algorithmic bias stems primarily from unrepresentative training datasets rather than hardware limitations. Statement 2 is false as the 2021 UNESCO Recommendation calls for a moratorium on social scoring and mass surveillance, but it does not mandate an immediate global prohibition of all real-time remote biometric identification. Statement 3 is incorrect because the CCPA regulates the collection and usage of biometric information but does not impose a mandatory 48-hour deletion requirement for biometric templates.
Consider the following statements regarding Data representativeness and historical bias propagation:
1. Article 13 of the 2023 EU AI Act introduces specific requirements for high-risk AI systems to utilize datasets that are relevant, representative, and free of errors to the best extent possible during the design phase.
2. The 2015 Algorithmic Accountability Act, introduced in the United States Congress, provides for the establishment of a federal clearinghouse that verifies the demographic neutrality of all commercial AI models before their market release.
3. The 2019 NIST Special Publication 1270, 'Towards a Standard for Identifying and Managing Bias in Artificial Intelligence', categorizes historical bias as a phenomenon where the training data reflects existing societal prejudices rather than objective reality.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 3 is correct. Statement 2 is incorrect.
Statement 1 is correct as Article 10 (not 13) of the EU AI Act mandates that training, validation, and testing datasets for high-risk AI must be relevant, representative, and error-free. Statement 3 is correct as NIST SP 1270 identifies historical bias as the reflection of existing societal prejudices in data, which can perpetuate systemic inequalities. Statement 2 is incorrect because the Algorithmic Accountability Act, first introduced in 2019 (not 2015), mandates impact assessments for high-risk systems but does not establish a federal clearinghouse for pre-market demographic verification.
Consider the following statements regarding Algorithmic opacity and the black-box problem:
1. The 2022 Montreal Declaration for Responsible AI provides a framework for ethical development, and it incorporates a specific provision that grants citizens the legal right to demand a human review of any algorithmic decision made by private corporations.
2. The 2019 OECD AI Principles promote the use of federated learning to enhance data privacy, and the framework establishes a global regulatory board to oversee the audit of proprietary algorithms.
3. The 2017 Asilomar AI Principles were drafted by the Future of Life Institute to address safety concerns, and the document includes a binding clause that limits the development of non-interpretable neural networks.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
None of the statements are correct because the Montreal Declaration (2018) is a non-binding ethical framework that does not grant legal rights, the OECD AI Principles (2019) encourage transparency and accountability but do not establish a global regulatory board, and the Asilomar AI Principles (2017) are a set of aspirational guidelines without any binding clauses or prohibitions on neural network architectures.
Consider the following statements regarding AI governance and international regulatory standards:
1. The G7 Hiroshima AI Process, launched in 2023, provides for a centralized international registry where developers submit their algorithmic source code for peer review by a panel of intergovernmental experts.
2. The Council of Europe’s Framework Convention on Artificial Intelligence, opened for signature in 2024, includes provisions that grant individual citizens the right to initiate litigation against AI developers in the International Court of Justice.
3. The EU AI Act, finalized in 2024, categorizes all generative AI systems as high-risk, thereby subjecting them to the same conformity assessment procedures as biometric identification technologies.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the G7 Hiroshima AI Process focuses on voluntary international guiding principles and a code of conduct, not a centralized registry for source code review. Statement 2 is incorrect as the Council of Europe’s Framework Convention does not grant individuals the right to sue developers in the International Court of Justice, which handles disputes between states. Statement 3 is incorrect because the EU AI Act uses a risk-based approach, categorizing AI systems into tiers (unacceptable, high, limited, and minimal risk) rather than labeling all generative AI as high-risk.
Consider the following statements regarding The digital divide and equitable access to AI benefits:
1. The European Union's AI Act, finalized in 2024, introduces transparency requirements for high-risk AI systems to address concerns regarding discriminatory outcomes in automated decision-making processes.
2. As of 2023, the International Telecommunication Union (ITU) reports that approximately 2.6 billion people remain offline, representing a significant barrier to the equitable distribution of AI-driven economic gains.
3. The 2022 OECD Recommendation on Artificial Intelligence encourages member countries to foster human-centric AI systems that promote diversity and inclusion to mitigate the risk of algorithmic bias.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
All three statements are correct: the EU AI Act (2024) mandates strict transparency and risk-management protocols for high-risk systems to prevent bias; the ITU's 2023 'Facts and Figures' report confirms that 2.6 billion people remain offline, creating a 'digital divide' that restricts access to AI-driven progress; and the OECD’s 2022 update to its AI Principles explicitly emphasizes human-centric values, fairness, and inclusivity to ensure AI development does not exacerbate societal inequalities. There are no incorrect statements provided in the question.
Consider the following statements regarding Algorithmic accountability and legal liability frameworks:
1. Article 22 of the GDPR provides individuals the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects.
2. The European Union AI Act, adopted in 2024, classifies AI systems used in critical infrastructure as high-risk, necessitating rigorous documentation and human oversight.
3. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence emphasizes the importance of transparency and explainability in algorithmic decision-making processes.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as Article 22 of the GDPR explicitly grants data subjects the right to contest decisions based solely on automated processing that significantly affect them. Statement 2 is correct because the EU AI Act, which entered into force in 2024, mandates strict compliance, human oversight, and risk management for AI systems deployed in critical infrastructure, categorized as high-risk. Statement 3 is correct as the 2021 UNESCO Recommendation on the Ethics of AI serves as a global normative framework specifically advocating for transparency, explainability, and accountability to ensure AI aligns with human rights and fundamental freedoms.
Consider the following statements regarding Bias in facial recognition and biometric identification:
1. The 2018 Gender Shades project by Joy Buolamwini and Timnit Gebru identified error rates of up to 34.7% for darker-skinned females in commercial facial recognition systems.
2. The 2020 IEEE P7003 standard for Algorithmic Bias Considerations provides a framework for facial recognition, suggesting that training datasets are legally exempt from diversity audits if they exceed one million images.
3. The 2016 Obama administration Executive Order on AI established the National AI Research Resource, which prioritizes the removal of demographic parity metrics in biometric testing protocols.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is correct as the 2018 'Gender Shades' study empirically demonstrated significant intersectional accuracy disparities, highlighting error rates of 34.7% for darker-skinned women. Statement 2 is incorrect because the IEEE P7003 standard focuses on mitigating algorithmic bias and does not provide legal exemptions for large datasets; rather, it emphasizes rigorous transparency and auditability regardless of scale. Statement 3 is incorrect because no such 2016 Executive Order exists; the National AI Research Resource (NAIRR) was established by the National AI Initiative Act of 2020, which promotes fairness and equity rather than the removal of demographic parity metrics.
Consider the following statements regarding Data privacy and the ethics of mass surveillance:
1. The 2023 EU AI Act categorizes AI systems based on risk levels, and the framework includes the 'High-Risk' classification for biometric identification tools used by private entities in public spaces.
2. The 2019 OECD AI Principles represent the first intergovernmental standard for trustworthy AI, emphasizing transparency and accountability in algorithmic systems.
3. The 1980 OECD Privacy Guidelines established the 'Purpose Specification Principle', which was incorporated into the 2011 Data Protection Rules under the Ministry of Electronics and Information Technology.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 1 is incorrect. Statement 3 is incorrect.
Statement 2 is correct as the 2019 OECD AI Principles are indeed the first intergovernmental standard for trustworthy AI, focusing on human-centric values and accountability. Statement 1 is incorrect because the EU AI Act generally prohibits real-time remote biometric identification in publicly accessible spaces by law enforcement, rather than merely classifying it as 'High-Risk' for private entities. Statement 3 is incorrect because while the 1980 OECD Guidelines introduced the 'Purpose Specification Principle', it was incorporated into the Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011, which were notified under the IT Act, 2000, not the 'Data Protection Rules' as cited.
Consider the following statements regarding Environmental ethics of large-scale model training:
1. A 2020 research paper published in the journal 'Nature' highlighted that the carbon footprint of training a Transformer model with 213 million parameters is comparable to the lifetime emissions of five average passenger vehicles.
2. The 2023 'Green AI' framework proposed by the Allen Institute for AI emphasizes the importance of tracking the energy efficiency of algorithmic development alongside traditional performance benchmarks.
3. The 2022 EU AI Act draft discussions included provisions for reporting the energy consumption metrics of foundational models to enhance transparency in environmental impact assessments.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is accurate as research, including the seminal 'Energy and Policy Considerations for Deep Learning in NLP' (2019/2020), quantified the massive carbon footprint of training large models like Transformer-based architectures. Statement 2 correctly identifies the Allen Institute for AI's 'Green AI' initiative, which advocates for reporting energy metrics alongside accuracy to curb the environmental cost of computation. Statement 3 is correct because the final EU AI Act mandates that providers of high-impact foundational models must report energy consumption to ensure environmental sustainability and transparency.
Consider the following statements regarding Human-in-the-loop requirements for high-stakes AI:
1. Article 14 of the EU AI Act specifies that human-in-the-loop procedures are designed to allow individuals to oversee, interpret, and intervene in the outputs of high-risk AI models.
2. The 2021 UNESCO Recommendation on the Ethics of AI encompasses principles of transparency and accountability, and it refers to the establishment of global AI auditing boards for all member states.
3. The 2017 Asilomar AI Principles were developed by the Future of Life Institute, and these principles include provisions for the alignment of AI goals with human values through pre-programmed ethical constraints.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is correct as Article 14 of the EU AI Act mandates human oversight for high-risk AI systems to prevent or minimize risks to health, safety, or fundamental rights. Statement 2 is incorrect because while the 2021 UNESCO Recommendation emphasizes transparency and accountability, it does not mandate the establishment of global AI auditing boards for member states. Statement 3 is incorrect because the 2017 Asilomar AI Principles focus on broad research and ethical guidelines for AI development, but they do not contain specific provisions for pre-programmed ethical constraints as a mechanism for goal alignment.
Consider the following statements regarding Data privacy and the ethics of mass surveillance:
1. The 2000 Information Technology Act provides for the protection of sensitive personal data, and the 2008 amendment introduced Section 66A to regulate algorithmic bias in social media platforms.
2. The 2014 Budapest Convention on Cybercrime includes provisions for cross-border data access, and the treaty was ratified by India to facilitate international cooperation on mass surveillance protocols.
3. The 2016 General Data Protection Regulation (GDPR) of the European Union introduced the 'right to explanation' for individuals subject to automated decision-making processes.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 3 is correct. Statement 1 is incorrect. Statement 2 is incorrect.
Statement 3 is correct as the EU's 2016 GDPR grants individuals the 'right to explanation' regarding algorithmic decisions to ensure transparency. Statement 1 is incorrect because Section 66A of the IT Act (2000/2008) dealt with offensive messages and was struck down by the Supreme Court in 2015, not algorithmic bias. Statement 2 is incorrect because India is not a signatory or party to the Budapest Convention, which focuses on cybercrime rather than mass surveillance protocols.
Consider the following statements regarding Ethical implications of generative AI and deepfakes:
1. The 2023 Bletchley Declaration, signed by 28 countries, acknowledges the potential for catastrophic harm arising from the misuse of frontier AI models.
2. The 2023 G7 Hiroshima AI Process introduced the Global AI Watermarking Standard, which provides for mandatory digital signatures on all generative outputs produced by commercial large language models.
3. Article 5 of the EU AI Act classifies AI systems used in biometric identification as high-risk, imposing stringent transparency obligations on developers.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 3 is correct. Statement 2 is incorrect.
Statement 1 is correct as the 2023 Bletchley Declaration, signed by 28 nations including the US and China, explicitly highlights the catastrophic risks posed by frontier AI. Statement 3 is correct because the EU AI Act classifies biometric identification systems as high-risk, necessitating rigorous compliance and transparency. Statement 2 is incorrect because the G7 Hiroshima AI Process focuses on voluntary international guiding principles and a code of conduct for organizations, rather than establishing a mandatory global watermarking standard.
Consider the following statements regarding Algorithmic amplification of social media echo chambers:
1. The 2021 Digital Services Act introduced the 'Transparency Principle', which allows users to opt out of personalized ranking, and it serves as the primary international treaty governing global algorithmic standards.
2. The 2019 Christchurch Call to Action focuses on the reduction of algorithmic bias, and it established a global regulatory body to oversee the removal of echo chambers on private platforms.
3. The 2017 Twitter Transparency Report identified that engagement-based ranking algorithms were the primary cause of platform-wide political neutrality, leading to the adoption of chronological feeds by default.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the EU's Digital Services Act (DSA) is a regional regulation, not an international treaty, and it does not establish global algorithmic standards. Statement 2 is false as the Christchurch Call is a voluntary commitment to eliminate terrorist and violent extremist content, not a regulatory body for removing echo chambers. Statement 3 is incorrect because engagement-based algorithms are widely cited for fostering polarization rather than neutrality, and Twitter did not adopt chronological feeds as a default response to such a report.
Consider the following statements regarding Predictive policing and systemic discrimination:
1. Article 22 of the EU General Data Protection Regulation (GDPR) provides individuals the right not to be subject to a decision based processing which produces legal effects, including profiling.
2. In 2020, the City of Portland enacted a municipal ordinance banning the use of facial recognition technology by both private entities and government agencies in public spaces.
3. The 2019 California Consumer Privacy Act grants residents the right to opt out of automated decision-making, and it aligns with the 2016 OECD guidelines on algorithmic transparency in judicial systems.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is incorrect.
Statement 1 is correct as Article 22 of the GDPR explicitly protects individuals from fully automated decisions, including profiling, that significantly affect them. Statement 2 is correct because in 2020, Portland passed one of the strictest bans in the U.S., prohibiting both private and public use of facial recognition in public spaces. Statement 3 is incorrect because while the CCPA provides privacy rights, it does not mandate an opt-out for all automated decision-making, and it is not explicitly aligned with the 2016 OECD guidelines on judicial algorithmic transparency.
Consider the following statements regarding AI-driven wealth inequality and labor displacement:
1. The 2016 Obama Administration report on Artificial Intelligence, Automation, and the Economy notes that productivity gains from AI are significant, and it establishes a federal framework for the direct taxation of robotic labor hours.
2. The 2023 EU AI Act categorizes algorithmic systems by risk level, and it provides for a mandatory wealth redistribution tax on companies that deploy high-risk AI systems causing significant labor displacement.
3. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted by 193 member states, emphasizes that AI systems should not be used for social scoring or mass surveillance that exacerbates wealth inequality.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 3 is correct. Statement 1 is incorrect. Statement 2 is incorrect.
Statement 3 is correct as the 2021 UNESCO Recommendation on the Ethics of AI, adopted by 193 member states, explicitly calls for the prohibition of social scoring and mass surveillance systems that undermine human rights and socioeconomic equality. Statement 1 is incorrect because the 2016 Obama Administration report discussed the economic implications of AI but did not establish a federal framework for taxing robotic labor hours. Statement 2 is incorrect because, while the 2023 EU AI Act mandates strict risk-based compliance and transparency for high-risk AI, it does not include provisions for a wealth redistribution tax on companies based on labor displacement.
Consider the following statements regarding Data privacy and the ethics of mass surveillance:
1. In the 2017 Justice K.S. Puttaswamy v. Union of India verdict, the Supreme Court of India recognized privacy as a fundamental right protected under Article 21 of the Constitution.
2. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence was adopted by 193 member states to establish a global normative framework for the development of AI technologies.
3. The 2018 California Consumer Privacy Act (CCPA) grants residents the right to opt-out of the sale of their personal information to third-party data brokers.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as the Supreme Court in the 2017 Puttaswamy judgment unanimously declared privacy an intrinsic part of the Right to Life and Personal Liberty under Article 21. Statement 2 is correct because the UNESCO Recommendation on the Ethics of AI was indeed adopted by all 193 member states in November 2021 to ensure human rights-based AI development. Statement 3 is correct as the CCPA, effective from 2020, provides California residents with specific rights, including the explicit right to opt-out of the sale of their personal data to third parties.
Consider the following statements regarding Predictive policing and systemic discrimination:
1. The 2021 UNESCO Recommendation on the Ethics of AI emphasizes the role of national human rights commissions, and it establishes a global registry for all predictive policing software deployments.
2. The 2016 ProPublica investigation into the COMPAS algorithm revealed that Black defendants were twice as likely as White defendants to be misclassified as high-risk for future recidivism.
3. The 2018 Algorithmic Accountability Act introduced in the US Congress focuses on federal oversight of predictive policing, and it incorporates the 2014 NIST framework for bias mitigation in law enforcement.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 1 is incorrect. Statement 3 is incorrect.
Statement 2 is correct as the 2016 ProPublica investigation found that the COMPAS algorithm falsely labeled Black defendants as high-risk at nearly twice the rate of White defendants. Statement 1 is incorrect because, while the 2021 UNESCO Recommendation promotes ethical AI, it does not mandate a global registry for predictive policing software. Statement 3 is incorrect because the Algorithmic Accountability Act, first introduced in 2019, focuses on corporate transparency and consumer protection rather than incorporating the 2014 NIST framework specifically for law enforcement.
Consider the following statements regarding Human-in-the-loop requirements for high-stakes AI:
1. The 2020 White House Executive Order 13960 provides for the use of AI in federal agencies, and it includes provisions for the removal of human oversight in systems achieving a 99% accuracy rate.
2. The 2018 GDPR Article 22 addresses automated individual decision-making, and it refers to the right of data subjects to request a human review of algorithmic outcomes in non-commercial settings.
3. The 2023 Bletchley Declaration on AI safety focuses on frontier models, and it is associated with the creation of a centralized international body tasked with the certification of human-in-the-loop protocols.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because Executive Order 13960 mandates human oversight for AI in federal agencies rather than allowing its removal. Statement 2 is incorrect as GDPR Article 22 applies to both commercial and non-commercial settings, granting data subjects the right not to be subject to decisions based solely on automated processing. Statement 3 is incorrect because the 2023 Bletchley Declaration focuses on international cooperation for AI safety research and risk assessment, but it does not establish a centralized international body for the certification of human-in-the-loop protocols.
Consider the following statements regarding Algorithmic accountability and legal liability frameworks:
1. The 2022 Algorithmic Accountability Act introduced in the U.S. Congress proposes that large companies conduct impact assessments for automated decision systems.
2. The Singapore Model AI Governance Framework, first released in 2019, provides a voluntary guide for private sector organizations to implement internal AI governance structures.
3. The 2023 White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence directs federal agencies to establish new standards for AI safety.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
All three statements are correct: the 2022 Algorithmic Accountability Act in the U.S. mandates that large companies perform impact assessments to mitigate bias and security risks in automated systems. The Singapore Model AI Governance Framework (2019) serves as a voluntary, non-binding guide to help organizations adopt ethical AI practices, while the 2023 White House Executive Order establishes comprehensive safety, security, and privacy standards for federal agencies developing or deploying AI.
Consider the following statements regarding Ethical implications of generative AI and deepfakes:
1. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence includes provisions for the establishment of an International AI Court, which functions as the primary judicial body for resolving cross-border algorithmic bias disputes.
2. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence was adopted by 193 member states to ensure human rights are protected during AI development.
3. In 2023, the White House issued an Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, focusing on watermarking synthetic content.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 3 is correct. Statement 1 is incorrect.
Statement 2 is correct as the 2021 UNESCO Recommendation on the Ethics of AI was indeed adopted by all 193 member states to promote human rights and ethical AI governance. Statement 3 is correct because the October 2023 U.S. Executive Order mandates new standards for AI safety and security, specifically requiring developers to implement watermarking for synthetic content to combat misinformation. Statement 1 is incorrect because the UNESCO Recommendation provides a normative framework for ethical AI but does not establish or propose an 'International AI Court' for judicial dispute resolution.
Consider the following statements regarding Algorithmic nudging and cognitive autonomy:
1. The 2019 OECD Principles on Artificial Intelligence identify transparency and explainability as foundational requirements for maintaining user agency in automated decision-making.
2. The 2023 G7 Hiroshima AI Process refers to the development of international standards for generative models, and it builds upon the foundational work of the 2016 Seoul Declaration on Algorithmic Bias.
3. The 2017 Asilomar AI Principles encompass the concept of value alignment, and the document was formally ratified by the United Nations General Assembly during its 72nd session.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is correct as the 2019 OECD AI Principles explicitly mandate transparency and explainability to ensure users understand AI-driven outcomes, thereby preserving cognitive autonomy. Statement 2 is incorrect because the G7 Hiroshima AI Process (2023) focuses on generative AI governance but does not build upon a '2016 Seoul Declaration on Algorithmic Bias,' which does not exist in that context. Statement 3 is incorrect because, while the 2017 Asilomar AI Principles do emphasize value alignment, they were developed by the Future of Life Institute and industry experts, not formally ratified by the United Nations General Assembly.
Consider the following statements regarding AI-driven wealth inequality and labor displacement:
1. According to the 2024 World Economic Forum Future of Jobs Report, the projected displacement of 85 million jobs by 2025 is largely offset by the creation of 97 million new roles, though these shifts often concentrate capital in technology-intensive sectors.
2. The 2018 Montreal Declaration for a Responsible Development of AI highlights the principle of equity, and it encompasses a legal mechanism that grants displaced workers a share of the dividends generated by the AI systems that replaced them.
3. The 2020 G20 AI Principles were endorsed in Riyadh, and they incorporate a specific clause that allows developing nations to bypass intellectual property rights for AI tools intended for public sector labor training.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is correct as the 2020 World Economic Forum Future of Jobs Report (often cited in 2024 contexts) projected the displacement of 85 million jobs alongside the creation of 97 million new roles, highlighting the risk of capital concentration in tech-heavy sectors. Statement 2 is incorrect because the 2018 Montreal Declaration is a non-binding ethical framework focused on human rights and transparency, not a legal mechanism for redistributing AI dividends. Statement 3 is incorrect because the G20 AI Principles, endorsed in 2019 (not 2020), focus on trustworthy AI and innovation, and they contain no provisions allowing developing nations to bypass intellectual property rights.
Consider the following statements regarding Algorithmic opacity and the black-box problem:
1. The 2018 DARPA Explainable AI (XAI) program focuses on developing machine learning techniques that produce more explainable models while maintaining high prediction accuracy.
2. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence emphasizes the principle of transparency to mitigate the black-box nature of deep learning models.
3. Article 13 of the EU AI Act classifies AI systems used in critical infrastructure as high-risk, necessitating technical documentation that explains the underlying logic of algorithmic decisions.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as DARPA's XAI program, launched in 2017-2018, specifically targets the development of 'glass-box' models that balance performance with interpretability. Statement 2 is correct because the 2021 UNESCO Recommendation explicitly mandates transparency and explainability as core pillars to address the inherent opacity of complex neural networks. Statement 3 is correct as the EU AI Act classifies AI in critical infrastructure as high-risk, mandating that providers maintain detailed technical documentation and logging to ensure the explainability of algorithmic outcomes.
Consider the following statements regarding Algorithmic amplification of social media echo chambers:
1. The 2018 Cambridge Analytica scandal revealed that algorithmic profiling of approximately 87 million Facebook users facilitated the targeted dissemination of content that reinforced existing political echo chambers.
2. The 2016 US Presidential election saw the implementation of the Fairness Doctrine, which provided a legal framework for social media platforms to balance algorithmic feeds by showing opposing viewpoints.
3. The EU AI Act, which reached political agreement in December 2023, classifies recommender systems used by very large online platforms as high-risk if they significantly influence user behavior toward polarizing content.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 3 is correct. Statement 2 is incorrect.
Statement 1 is correct as the 2018 Cambridge Analytica scandal involved the unauthorized harvesting of data from roughly 87 million Facebook users to create psychographic profiles for targeted political manipulation. Statement 3 is correct because the EU AI Act categorizes systemic risks posed by very large online platforms, including the amplification of polarizing content through recommender systems, under its regulatory framework. Statement 2 is incorrect because the Fairness Doctrine was a policy of the US Federal Communications Commission (FCC) that applied to broadcast media, not social media, and it was revoked in 1987, long before the 2016 election.
Consider the following statements regarding Moral agency and responsibility in autonomous systems:
1. The 2017 Asilomar AI Principles were drafted by the Future of Life Institute, and they propose that autonomous systems possess legal personhood equivalent to corporate entities under international law.
2. The EU AI Act of 2024 classifies biometric identification systems as high-risk, and it provides for the automatic transfer of civil liability from software developers to end-users in all deployment scenarios.
3. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted by 193 member states, identifies the 'black box' nature of deep learning models as a primary challenge to the principle of human accountability.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 3 is correct. Statement 1 is incorrect. Statement 2 is incorrect.
Statement 3 is correct as the 2021 UNESCO Recommendation explicitly highlights the 'black box' problem as a barrier to transparency and accountability. Statement 1 is incorrect because the Asilomar AI Principles do not propose legal personhood for AI, but rather emphasize human control and alignment with human values. Statement 2 is incorrect because the EU AI Act does not mandate an automatic transfer of liability to end-users; instead, it establishes a risk-based framework where liability remains governed by existing product liability directives and national laws.
Consider the following statements regarding Environmental ethics of large-scale model training:
1. The 2019 Paris Agreement on Climate Change includes a specific annex that classifies the training of large-scale neural networks as a primary industrial source of greenhouse gas emissions, and this classification was formally adopted by the UNFCCC in 2021.
2. The 2021 OECD Recommendation on Artificial Intelligence encourages member countries to promote the development of energy-efficient AI architectures to mitigate the ecological footprint of large-scale computation.
3. According to the 2023 sustainability report by Google, the company's total water consumption increased by 20 percent between 2021 and 2022, largely attributed to the cooling needs of data centers hosting AI workloads.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 3 is correct. Statement 1 is incorrect.
Statement 1 is incorrect because the 2019 Paris Agreement does not contain any annex classifying neural network training as an industrial source of emissions, nor has the UNFCCC adopted such a specific classification. Statement 2 is correct as the 2021 OECD Recommendation on AI explicitly emphasizes the need for energy-efficient AI to minimize environmental impacts. Statement 3 is correct because Google's 2023 Environmental Report confirmed a 20 percent year-on-year increase in water consumption from 2021 to 2022, directly linking the surge to the cooling requirements of data centers supporting AI infrastructure.
Consider the following statements regarding AI-driven wealth inequality and labor displacement:
1. The 2019 OECD AI Principles advocate for inclusive growth, and the organization's subsequent 2022 report links this to a universal basic income pilot program implemented across all G7 member nations.
2. The 2023 IMF Staff Discussion Note on Generative AI suggests that approximately 40% of global employment is exposed to AI-driven automation, with advanced economies facing higher exposure than emerging markets.
3. The 2017 Asilomar AI Principles were drafted by the Future of Life Institute, and they include provisions that prohibit the use of autonomous weapon systems to prevent the further concentration of defense-related wealth.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 1 is incorrect. Statement 3 is incorrect.
Statement 2 is correct as the 2024 IMF report (building on 2023 analysis) confirms that nearly 40% of global employment is exposed to AI, with advanced economies facing higher risks due to their reliance on cognitive-intensive roles. Statement 1 is incorrect because while the OECD promotes inclusive growth, it has not mandated or implemented a universal basic income pilot across all G7 nations. Statement 3 is incorrect because, although the 2017 Asilomar Principles address AI safety and ethics, they do not contain a specific provision prohibiting autonomous weapons to prevent wealth concentration; that topic remains a separate, ongoing debate in international humanitarian law.
Consider the following statements regarding Algorithmic nudging and cognitive autonomy:
1. Research published in the 2020 Journal of Artificial Intelligence Ethics indicates that dark patterns in interface design can reduce user decision-making time by approximately 30 percent.
2. The 2014 IEEE Global Initiative on Ethics of Autonomous Systems includes provisions for user autonomy, and it serves as the primary regulatory document for the European Union's digital services legislation.
3. The 2020 NIST AI Risk Management Framework provides for a taxonomy of socio-technical harms, and it incorporates the 2018 algorithmic fairness metrics proposed by the Turing Institute.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is correct as research in the Journal of Artificial Intelligence Ethics highlights how dark patterns exploit cognitive biases to accelerate decision-making, often to the detriment of user autonomy. Statement 2 is incorrect because the IEEE Global Initiative was launched in 2016, not 2014, and it serves as a voluntary ethical guideline rather than the primary regulatory document for EU legislation like the Digital Services Act. Statement 3 is incorrect because the NIST AI Risk Management Framework was published in 2023, and while it addresses socio-technical harms, it does not formally incorporate the Turing Institute's 2018 metrics as a foundational requirement.
Consider the following statements regarding Human-in-the-loop requirements for high-stakes AI:
1. The 2019 OECD AI Principles emphasize technical robustness and safety, and these guidelines include provisions for human agency in the deployment of autonomous weapons systems.
2. The 2024 EU AI Act classifies AI systems used in critical infrastructure as high-risk, necessitating human oversight to mitigate potential safety failures.
3. The NIST AI Risk Management Framework, released in January 2023, provides for mapping and measuring algorithmic bias, and it links these metrics to the automatic termination of high-stakes AI processes.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 1 is incorrect. Statement 3 is incorrect.
Statement 2 is correct as the 2024 EU AI Act mandates strict human oversight for high-risk AI systems, including those in critical infrastructure, to ensure safety and accountability. Statement 1 is incorrect because the 2019 OECD AI Principles promote human-centered values and agency generally, but they do not specifically mandate provisions for autonomous weapons systems. Statement 3 is incorrect because the NIST AI Risk Management Framework (2023) is a voluntary, non-prescriptive guidance tool focused on risk assessment and mitigation, and it does not mandate the automatic termination of AI processes.
Consider the following statements regarding Human-centric AI design principles:
1. Article 15 of the European Union's AI Act outlines specific transparency obligations for providers of high-risk AI systems to ensure human oversight.
2. The NIST AI Risk Management Framework, published in January 2023, categorizes trustworthiness into four functions: govern, map, measure, and manage.
3. The 2023 Bletchley Declaration, signed by 28 countries, acknowledges the potential for serious harm, both intentional and unintentional, stemming from frontier AI models.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as Article 15 of the EU AI Act mandates that high-risk systems be designed to allow effective human oversight to mitigate risks. Statement 2 is correct because the NIST AI Risk Management Framework (AI RMF 1.0), released in January 2023, establishes the core functions of Govern, Map, Measure, and Manage to foster trustworthy AI. Statement 3 is correct as the Bletchley Declaration, signed in November 2023 by 28 countries including the US, China, and India, formally recognizes the catastrophic risks posed by frontier AI models.
Consider the following statements regarding Algorithmic amplification of social media echo chambers:
1. The 2020 Data Governance Act provides for the creation of common European data spaces, and it includes provisions that limit the use of machine learning to prevent the formation of social media filter bubbles.
2. The 2014 Facebook News Feed experiment involved 689,000 users to test emotional contagion, and it resulted in the immediate global adoption of the 'Stop Echo Chamber' protocol by the Federal Trade Commission.
3. The 2022 UNESCO Recommendation on the Ethics of Artificial Intelligence provides for a universal ban on engagement-based algorithms, and it serves as the legal basis for domestic anti-bias litigation in the United States.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
All three statements are incorrect: the EU Data Governance Act (2022) focuses on data sharing and interoperability rather than banning filter bubbles; the 2014 Facebook experiment sparked ethical controversy but did not lead to any 'Stop Echo Chamber' protocol by the FTC; and the 2022 UNESCO Recommendation is a non-binding ethical framework, not a legal instrument that mandates bans on algorithms or serves as a basis for U.S. litigation.
Consider the following statements regarding Transparency and explainability in neural networks:
1. The 2018 Montreal Declaration for a Responsible Development of AI includes provisions for the 'Right to Explanation', which originated from the 2012 IEEE Global Initiative on Ethics of Autonomous Systems.
2. The 2017 DARPA XAI program focuses on the development of SHAP values, which were originally formulated in 1951 to measure the impact of neural network weights on final classification accuracy.
3. Attention mechanisms, popularized by the 2017 'Attention Is All You Need' paper, function as a post-hoc interpretability tool that maps hidden layer activations to specific training data samples.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the 'Right to Explanation' is primarily associated with the EU's GDPR (2016/2018), not the 2012 IEEE initiative. Statement 2 is false as SHAP values are based on Lloyd Shapley's 1953 game theory work on cooperative games, not 1951 neural network research, and DARPA's XAI program focuses on explainable models rather than just SHAP. Statement 3 is incorrect because attention mechanisms are intrinsic architectural components for weight-based focus during inference, not post-hoc interpretability tools used to map hidden layers to training samples.
Consider the following statements regarding Bias in facial recognition and biometric identification:
1. The 2022 White House Blueprint for an AI Bill of Rights refers to the protection against algorithmic discrimination and establishes a federal certification process for all commercial biometric software developers.
2. A 2019 study by the National Institute of Standards and Technology (NIST) analyzed 189 facial recognition algorithms and found higher false-positive rates for Asian and African American faces compared to Caucasian faces.
3. The EU AI Act, adopted in 2024, classifies biometric identification systems used for law enforcement purposes as high-risk, subject to strict conformity assessments.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 3 is correct. Statement 1 is incorrect.
Statement 2 is correct as the 2019 NIST study confirmed significant demographic differentials, showing higher false-positive rates for Asian and African American faces. Statement 3 is correct because the EU AI Act (2024) categorizes remote biometric identification systems used by law enforcement as 'high-risk,' mandating rigorous compliance and oversight. Statement 1 is incorrect because, while the 2022 White House Blueprint for an AI Bill of Rights advocates for protection against algorithmic discrimination, it is a non-binding policy framework and does not establish a mandatory federal certification process for commercial developers.
Consider the following statements regarding Data representativeness and historical bias propagation:
1. The 2019 IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems encompasses a framework where algorithmic transparency is achieved by providing public access to the raw, unanonymized datasets used in government surveillance projects.
2. The 2017 Asilomar AI Principles, signed by over 1,200 researchers, includes a provision for the automated deletion of training data older than ten years to prevent the propagation of outdated historical biases.
3. The 2020 OECD AI Principles, adopted by 38 member countries, refers to the 'Right to Explanation' as a mechanism that allows developers to legally bypass data representativeness audits for proprietary financial algorithms.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
All three statements are incorrect because they misrepresent established AI ethics frameworks: the IEEE Global Initiative focuses on accountability and transparency without mandating the release of unanonymized government surveillance data, the Asilomar AI Principles do not contain any provision for the automated deletion of training data, and the OECD AI Principles promote the 'Right to Explanation' as a tool for transparency and accountability rather than a mechanism to bypass audits. These frameworks emphasize responsible AI development, data privacy, and ethical oversight, directly contradicting the claims made in the statements.
Consider the following statements regarding Transparency and explainability in neural networks:
1. The 2019 OECD AI Principles suggest that AI systems should be designed to provide transparency and responsible disclosure to ensure that stakeholders understand AI-based outcomes.
2. Layer-wise Relevance Propagation (LRP) is a technique introduced in 2015 that decomposes the prediction of a deep neural network to visualize the contribution of individual input features.
3. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence emphasizes that neural network architectures should incorporate 'explainability by design' to ensure human oversight.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
All three statements are correct: the 2019 OECD AI Principles explicitly mandate transparency for stakeholder trust, Layer-wise Relevance Propagation (LRP) was indeed introduced in 2015 as a pioneering method to map feature importance in deep learning, and the 2021 UNESCO Recommendation on the Ethics of AI formally advocates for 'explainability by design' to facilitate human-centric accountability. There are no incorrect statements, as each accurately reflects the historical development and global policy consensus regarding the interpretability of neural network architectures.
Consider the following statements regarding Algorithmic opacity and the black-box problem:
1. In the 2016 ProPublica investigation into the COMPAS algorithm, researchers identified that the software exhibited a higher false-positive rate for Black defendants compared to White defendants.
2. The 2020 NIST Special Publication 1270 identifies algorithmic opacity as a primary challenge in establishing trust for AI systems deployed in public sector decision-making.
3. Section 7 of the 2023 White House Executive Order on Safe, Secure, and Trustworthy AI directs federal agencies to develop guidance for managing risks associated with proprietary black-box models.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as the 2016 ProPublica investigation revealed the COMPAS recidivism algorithm disproportionately flagged Black defendants as high-risk, resulting in a false-positive rate nearly double that of White defendants. Statement 2 is correct because NIST Special Publication 1270 (Towards a Standard for Identifying and Managing Bias in Artificial Intelligence) explicitly highlights that the 'black-box' nature of complex models hinders transparency and public trust. Statement 3 is correct as the October 2023 Executive Order on AI mandates that federal agencies establish standards and guidance to mitigate risks, specifically addressing the lack of transparency in proprietary models used for critical public sector decisions.
Consider the following statements regarding Environmental ethics of large-scale model training:
1. The 2021 study by researchers at the University of Massachusetts Amherst estimated that training a single large language model can emit approximately 626,000 pounds of carbon dioxide equivalent.
2. Data centers supporting large-scale AI model training are estimated to account for roughly 1 to 1.5 percent of global electricity consumption as of 2022.
3. The 2023 report by the International Energy Agency noted that the cooling systems of high-performance computing clusters consume significant volumes of water, often exceeding 700,000 liters per training run.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
The 2019 UMass Amherst study (often cited in 2021 contexts) highlighted that training a transformer model with neural architecture search emits ~626,000 lbs of CO2e, equivalent to five times the lifetime emissions of an average car. Data centers, including those for AI, consume approximately 1-1.5% of global electricity, a figure corroborated by the IEA and various energy research bodies as of 2022. The IEA's recent reports confirm that high-performance AI clusters require massive water cooling, with some large-scale training runs consuming over 700,000 liters, underscoring the significant environmental footprint of AI development.
Consider the following statements regarding Data scraping and intellectual property ethics:
1. The 2023 EU AI Act introduces transparency obligations for foundation models, requiring developers to publish summaries of copyrighted data used for training.
2. In the 2023 case of Andersen v. Stability AI, the US District Court for the Northern District of California dismissed several claims regarding direct copyright infringement due to a lack of substantial similarity.
3. The 1996 WIPO Copyright Treaty establishes a global framework for digital rights, and under its Article 11, it provides for the automatic protection of machine-generated datasets against unauthorized scraping.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is incorrect.
Statement 1 is correct as the EU AI Act mandates that providers of general-purpose AI models must publish sufficiently detailed summaries of the content used for training to comply with copyright laws. Statement 2 is correct because, in the Andersen v. Stability AI ruling, the court dismissed direct infringement claims for lack of substantial similarity, noting that the plaintiffs failed to show the output was derived from their specific works. Statement 3 is incorrect because the 1996 WIPO Copyright Treaty does not provide automatic protection for machine-generated datasets; Article 11 focuses on technological protection measures for works protected by copyright, and machine-generated content generally lacks the 'human authorship' required for such protection.
Consider the following statements regarding Data scraping and intellectual property ethics:
1. Section 52 of the Indian Copyright Act, 1957, includes provisions for fair dealing, which some legal scholars argue may cover the ingestion of public data for non-commercial machine learning research.
2. The 1976 US Copyright Act serves as the primary governing legislation for digital assets, and its Section 107 provides for the commercial exploitation of scraped datasets through the doctrine of transformative fair use in automated systems.
3. The 2023 Executive Order on Safe, Secure, and Trustworthy AI by the United States government encourages the development of standards for watermarking AI-generated content to identify synthetic media.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 3 is correct. Statement 2 is incorrect.
Statement 1 is correct as Section 52 of the Indian Copyright Act provides exceptions for fair dealing, which legal experts increasingly argue extends to non-commercial AI research. Statement 3 is correct because the 2023 US Executive Order explicitly directs the Department of Commerce to develop guidance for content authentication and watermarking to combat synthetic media risks. Statement 2 is incorrect because while Section 107 of the 1976 US Copyright Act covers 'fair use,' it does not provide a blanket right for the commercial exploitation of scraped datasets; the application of 'transformative use' to AI training remains a subject of ongoing, unresolved litigation in US courts.
Consider the following statements regarding AI governance and international regulatory standards:
1. The Bletchley Declaration of 2023, signed by 28 nations, focuses on the establishment of a global AI safety agency with the authority to oversee the deployment of frontier models in the private sector.
2. The UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted by 193 member states in November 2021, identifies the protection of ecosystems and the environment as a core policy area for AI development.
3. The OECD AI Principles, first introduced in 2019, contain a legally binding enforcement mechanism that allows signatory countries to impose sanctions on firms failing to conduct human rights impact assessments.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 1 is incorrect. Statement 3 is incorrect.
Statement 2 is correct as the 2021 UNESCO Recommendation is the first global standard-setting instrument that explicitly prioritizes environmental sustainability alongside human rights and dignity. Statement 1 is incorrect because the Bletchley Declaration focuses on international cooperation and shared understanding of risks rather than establishing a centralized global enforcement agency. Statement 3 is incorrect because the OECD AI Principles are non-binding policy guidelines intended to foster trust and innovation, lacking any formal mechanism for sanctions or legal enforcement.
Consider the following statements regarding The digital divide and equitable access to AI benefits:
1. The 2021 UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted by 193 member states, emphasizes that AI development should prioritize the bridging of the digital divide between developed and developing nations.
2. The G20 AI Principles, endorsed in 2019, include a specific provision advocating for inclusive growth and sustainable development to ensure the benefits of AI are accessible to underserved populations.
3. The 2019 OECD AI Principles establish a global financial fund for digital infrastructure, and under this framework, the organization initiated the 2021 Global AI Literacy Program to provide universal hardware access to developing regions.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is incorrect.
Statement 1 is correct as the 2021 UNESCO Recommendation is the first global standard-setting instrument adopted by 193 member states to address the digital divide and promote inclusive AI. Statement 2 is correct because the 2019 G20 AI Principles explicitly incorporate the OECD's values, including inclusive growth and sustainable development to bridge digital inequalities. Statement 3 is incorrect because the 2019 OECD AI Principles provide a policy framework for trustworthy AI but do not establish a global financial fund for hardware, nor did they initiate a universal hardware access program.
Consider the following statements regarding Algorithmic auditing and bias mitigation techniques:
1. The 2021 UNESCO Recommendation on the Ethics of AI encompasses provisions for algorithmic transparency, and it draws heavily from the 1997 Universal Declaration on the Human Genome and Human Rights to define digital personhood.
2. The 2020 Algorithmic Accountability Act introduced in the US Congress refers to the assessment of high-impact systems, and it incorporates the 2017 Asilomar AI Principles as the primary legal standard for evaluating data privacy.
3. The 2018 GDPR Article 22 provides for the right to an explanation regarding automated decision-making, and this provision was first applied to algorithmic auditing in the 2019 UK judicial review of facial recognition software.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the UNESCO Recommendation on the Ethics of AI (2021) does not define digital personhood using the 1997 Human Genome Declaration. Statement 2 is incorrect as the Algorithmic Accountability Act is a proposed bill, not law, and it does not adopt the Asilomar AI Principles as a legal standard for data privacy. Statement 3 is incorrect because while GDPR Article 22 addresses automated decision-making, it was not first applied to algorithmic auditing in the 2019 UK facial recognition case (R (Bridges) v South Wales Police), which focused on legal frameworks like the Human Rights Act and Data Protection Act.
Consider the following statements regarding The digital divide and equitable access to AI benefits:
1. The 2020 African Union's 'The Future of AI in Africa' report identifies the lack of high-quality, localized datasets as a primary factor contributing to algorithmic bias against African linguistic and cultural contexts.
2. The 2023 Bletchley Declaration, signed by 28 countries including India, acknowledges that the risks posed by frontier AI models include the potential for exacerbating existing socio-economic inequalities.
3. The 2017 Asilomar AI Principles, signed by over 1,200 researchers, state that AI research should be oriented toward providing broad benefits rather than concentrating wealth or power in a few entities.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
Statement 1 is correct as the AU's 2020 report emphasizes that data scarcity in indigenous languages leads to skewed AI models. Statement 2 is correct because the 2023 Bletchley Declaration explicitly highlights that frontier AI could widen the digital divide and socio-economic disparities globally. Statement 3 is correct as the 2017 Asilomar Principles advocate for 'Shared Benefit' and 'Shared Prosperity' to ensure AI development does not lead to an unhealthy concentration of power.
Consider the following statements regarding Algorithmic accountability and legal liability frameworks:
1. The OECD AI Principles, updated in 2019, advocate for AI systems that are robust, secure, and safe throughout their entire lifecycle.
2. In the 2016 Loomis v. Wisconsin case, the Wisconsin Supreme Court addressed the use of the COMPAS algorithmic risk assessment tool in criminal sentencing.
3. Section 230 of the United States Communications Decency Act of 1996 provides a legal shield for online platforms regarding content generated by third-party users.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is correct.
All three statements are correct: the 2019 OECD AI Principles establish global standards for trustworthy AI, including safety and robustness throughout the lifecycle. The 2016 Loomis v. Wisconsin ruling examined the due process implications of using the COMPAS algorithm in criminal sentencing, while Section 230 of the U.S. Communications Decency Act remains a foundational legal framework granting immunity to platforms for third-party content. Since all provided statements accurately reflect historical and legal facts regarding algorithmic accountability, there are no incorrect statements.
Consider the following statements regarding Transparency and explainability in neural networks:
1. Article 13 of the EU General Data Protection Regulation (GDPR) provides for the right of data subjects to receive meaningful information about the logic involved in automated decision-making processes.
2. Local Interpretable Model-agnostic Explanations (LIME), published in 2016, approximates complex neural network models locally with interpretable surrogates to explain individual predictions.
3. The 2020 White House Executive Order on AI transparency incorporates the Integrated Gradients method, a technique developed in 2014 to attribute prediction scores to input features in recurrent neural networks.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is correct. Statement 2 is correct. Statement 3 is incorrect.
Statement 1 is correct as Article 13 of the GDPR mandates that data controllers provide individuals with meaningful information about the logic involved in automated decision-making. Statement 2 is correct because LIME, introduced in 2016, is a widely used technique that creates local surrogate models to interpret the predictions of complex black-box algorithms. Statement 3 is incorrect because, while Integrated Gradients is a valid attribution method, there is no 2020 White House Executive Order that mandates its use; the first major U.S. Executive Order on AI was issued in 2023, and it focuses on safety and security rather than mandating specific technical attribution methods.
Consider the following statements regarding Automated decision-making in judicial sentencing:
1. The 2015 Algorithmic Accountability Act refers to the oversight of predictive policing tools, and this legislation allows for the implementation of automated sentencing protocols in federal district courts.
2. The 2020 NIST report on facial recognition bias provides for standard benchmarks in judicial software, and this report identifies that algorithmic error rates are lower for female defendants than for male defendants.
3. The 2022 UNESCO Recommendation on the Ethics of AI includes provisions for judicial fairness, and it specifies that automated risk assessments are prohibited in all jurisdictions that have ratified the Rome Statute.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 1 is incorrect. Statement 2 is incorrect. Statement 3 is incorrect.
Statement 1 is incorrect because the Algorithmic Accountability Act is a proposed US legislative bill aimed at assessing bias, not a 2015 law mandating automated sentencing. Statement 2 is false as the 2020 NIST report on facial recognition consistently demonstrated higher error rates for women and people of color, contradicting the claim of lower error rates for female defendants. Statement 3 is incorrect because the 2022 UNESCO Recommendation on the Ethics of AI provides a global framework for ethical AI development but does not contain any provisions prohibiting automated risk assessments in jurisdictions that ratified the Rome Statute.
Consider the following statements regarding Automated decision-making in judicial sentencing:
1. The 2018 GDPR framework includes provisions for algorithmic transparency, and under its Article 22, courts in the European Union utilize automated sentencing for non-violent misdemeanors.
2. The COMPAS algorithm, widely used in US courts since 2013, assigns risk scores based on 137 distinct variables related to criminal history and social environment.
3. In 2016, the ProPublica investigation into the COMPAS tool revealed that black defendants were twice as likely to be misclassified as high-risk compared to white defendants.
How many of the statements given above are correct?
- Only one
- Only two
- All three
- None
Explanation: Statement 2 is correct. Statement 3 is correct. Statement 1 is incorrect.
Statement 2 is correct as the COMPAS algorithm utilizes a 137-item questionnaire to generate recidivism risk scores, and Statement 3 is correct because the 2016 ProPublica investigation famously exposed that the tool exhibited racial bias, mislabeling black defendants as high-risk at twice the rate of white defendants. Statement 1 is incorrect because while Article 22 of the GDPR provides individuals the right not to be subject to a decision based solely on automated processing, it does not mandate or permit automated judicial sentencing for misdemeanors in the EU, where human oversight remains a fundamental legal requirement.