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  1. Question 1 of 140
    1. Question

    What are the two categories of AI systems?

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  2. Question 2 of 140
    2. Question

    What is algorithmic bias?

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  3. Question 3 of 140
    3. Question

    In the context of AI ethics, which two principles are considered the cornerstones of Ethical AI?

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  4. Question 4 of 140
    4. Question

    What is personal data?

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  5. Question 5 of 140
    5. Question

    Which of the following is NOT a threat posed by AI to the freedom of expression?

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  6. Question 6 of 140
    6. Question

    True or False: Autonomous systems perform tasks, make decisions, and learn from their experiences with no human intervention.

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  7. Question 7 of 140
    7. Question

    What are the three primary ethical principles often underpinning AI regulations?

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  8. Question 8 of 140
    8. Question

    AI ethics isn’t just a matter for technologists or those directly involved in the field, it is important to view AI ethics as a societal issue because:

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  9. Question 9 of 140
    9. Question

    True or False: AI’s ability to automate cognitive tasks could potentially displace jobs across a multitude of sectors.

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  10. Question 10 of 140
    10. Question

    What are some of the key dimensions of diversity in AI development teams?

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  11. Question 11 of 140
    11. Question

    True or False: All sectors share the same ethical considerations when it comes to AI such as transparency, fairness, accountability, and privacy.

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  12. Question 12 of 140
    12. Question

    True or False: Perspectives on AI ethics can vary greatly based on cultural, societal, and regulatory contexts.

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  13. Question 13 of 140
    13. Question

    What is the initial step towards an ethical approach to AI in any organization?

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  14. Question 14 of 140
    14. Question

    The increased decision-making capabilities of AI systems present a significant ethical challenge for the future. Which of the following is not a solution proposed for navigating these challenges?

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  15. Question 15 of 140
    15. Question

    Which AI systems are capable of performing any cognitive task a human can?

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  16. Question 16 of 140
    16. Question

    Which of the following can be a source of algorithmic bias?

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  17. Question 17 of 140
    17. Question

     What does Transparency in AI primarily involve?

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  18. Question 18 of 140
    18. Question

    What does data minimization refer to?

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  19. Question 19 of 140
    19. Question

    AI can aid in promoting social and economic equality by:

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  20. Question 20 of 140
    20. Question

    Which of the following is a significant ethical question raised by the autonomy of these systems?

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  21. Question 21 of 140
    21. Question

    Which form of transparency refers to the requirement for developers to disclose their algorithms’ design, function, and underlying logic?

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  22. Question 22 of 140
    22. Question

    True or False: The decisions made within an AI lab or within the strategic meetings of a tech company do not have profound societal, economic, legal, and philosophical implications.

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  23. Question 23 of 140
    23. Question

    The rise of AI has already increased demand for which of the following jobs?

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  24. Question 24 of 140
    24. Question

    True or False: AI systems often reflect the biases of their creators, even if those biases are unconscious.

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  25. Question 25 of 140
    25. Question

    In the context of healthcare, why is the accuracy of AI diagnoses of critical importance?

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  26. Question 26 of 140
    26. Question

    Which of the following societies is characterized by a strong emphasis on individual privacy?

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  27. Question 27 of 140
    27. Question

    A well-defined AI ethics strategy must:

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  28. Question 28 of 140
    28. Question

    What is the role of oversight mechanisms in preparing for the future of AI ethics?

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  29. Question 29 of 140
    29. Question

    What kind of learning allows ML systems to identify patterns in unlabeled data?

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  30. Question 30 of 140
    30. Question

    Machines, due to their lack of human-like emotions and thoughts, are inherently objective and free from any biases.

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  31. Question 31 of 140
    31. Question

    Accountability in AI is primarily about:

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  32. Question 32 of 140
    32. Question

    What are the three key areas of concern discussed regarding privacy risks inherent in AI usage?

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  33. Question 33 of 140
    33. Question

    True or False: AI, particularly when combined with extensive data collection mechanisms, poses serious threats to the fundamental human right to privacy.

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  34. Question 34 of 140
    34. Question

    True or False: The rise of autonomous systems could potentially increase income inequality.

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  35. Question 35 of 140
    35. Question

    The fairness in AI systems involves ensuring that:

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  36. Question 36 of 140
    36. Question

    Which of the following stakeholders is NOT typically involved in discussions around AI ethics?

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  37. Question 37 of 140
    37. Question

    True or False: The economic benefits of AI could potentially exacerbate income inequality.

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  38. Question 38 of 140
    38. Question

    How does diversity within AI development teams help reduce bias in AI systems?

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  39. Question 39 of 140
    39. Question

    Which sector’s AI ethical considerations involve concerns about fairness in AI-driven lending decisions?

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  40. Question 40 of 140
    40. Question

    Which region has proposed regulations for AI and is known for its strong data protection laws?

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  41. Question 41 of 140
    41. Question

    True or False: It’s sufficient to consider ethical implications only after an AI system has been deployed, not during the design process.

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  42. Question 42 of 140
    42. Question

    What is superintelligent AI?

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  43. Question 43 of 140
    43. Question

    What is a potential outcome of AI related to job displacement?

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  44. Question 44 of 140
    44. Question

    Algorithmic bias is often referred to as an invisible adversary in AI ethics.

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  45. Question 45 of 140
    45. Question

    What is the purpose of Explainable AI (XAI)?

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  46. Question 46 of 140
    46. Question

    What is Privacy by Design (PbD)?

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  47. Question 47 of 140
    47. Question

    The ‘Human Rights by Design’ approach emphasizes what?

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  48. Question 48 of 140
    48. Question

    Which of the following is an example of a policy that could be implemented to plan for the transition to an automated society?

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  49. Question 49 of 140
    49. Question

    What does protecting individual rights and privacy in the context of AI primarily involve?

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  50. Question 50 of 140
    50. Question

    True or False: The ethical implications of AI are the sole responsibility of the tech companies developing AI technologies.

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  51. Question 51 of 140
    51. Question

    How can AI disrupt labor markets and fiscal systems at the macroeconomic level?

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  52. Question 52 of 140
    52. Question

    How does diversity foster creativity and innovation in AI development?

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  53. Question 53 of 140
    53. Question

    True or False: In law enforcement, AI technologies like facial recognition do not infringe on privacy rights and civil liberties.

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  54. Question 54 of 140
    54. Question

    True or False: An AI system trained primarily on a culture can inadvertently perpetuate biases when deployed in a different cultural context.

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  55. Question 55 of 140
    55. Question

    What is the role of the AI Management Office (AIMO) and Ethics Committee within an organization?

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  56. Question 56 of 140
    56. Question

    What is the ‘value alignment problem’ in the context of superintelligent AI?

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  57. Question 57 of 140
    57. Question

    What is a potential strategy to ethically manage job displacement caused by AI?

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  58. Question 58 of 140
    58. Question

    Which of the following is a key step towards mitigating algorithmic bias?

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  59. Question 59 of 140
    59. Question

    What are LIME and SHAP techniques used for in the context of Explainable AI?

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  60. Question 60 of 140
    60. Question

    What is the key ethical concept in data collection that ensures individuals can make informed decisions about whether to share their data?

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  61. Question 61 of 140
    61. Question

    What does a comprehensive Human Rights Impact Assessments (HRIAs) include?

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  62. Question 62 of 140
    62. Question

    The ethical issue of job displacement caused by autonomous systems can lead to which of the following?

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  63. Question 63 of 140
    63. Question

    True or False: The European Union’s Artificial Intelligence Act proposed in April 2021 focuses on transparency, accountability, user safety, and fundamental rights and proposes a tiered approach based on the risk level of the AI system.

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  64. Question 64 of 140
    64. Question

    What role do sociologists and anthropologists play in the context of AI ethics?

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  65. Question 65 of 140
    65. Question

    What is the best way to navigate the transformative journey of AI, according to the passage?

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  66. Question 66 of 140
    66. Question

    Bias in AI systems can arise from which of the following sources?

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  67. Question 67 of 140
    67. Question

    In the education sector, what potential challenge does personalized learning powered by AI present?

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  68. Question 68 of 140
    68. Question

    True or False: High-income countries and lower-income countries stand to benefit equally from AI advancements.

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  69. Question 69 of 140
    69. Question

    Why is it important for all members of an organization to have a fundamental understanding of AI and its implications?

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  70. Question 70 of 140
    70. Question

    Which of the following is NOT a factor leading to data bias in AI technologies?

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  71. Question 71 of 140
    71. Question

    What is a significant concern related to AI and data protection?

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  72. Question 72 of 140
    72. Question

    Sample bias refers to the situation where an AI system performs well for a particular group but poorly for others because it was trained predominantly on data from that group.

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  73. Question 73 of 140
    73. Question

    Intrinsic interpretability techniques aim to:

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  74. Question 74 of 140
    74. Question

    Which of the following is NOT a way in which AI can enhance data privacy and security?

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  75. Question 75 of 140
    75. Question

    In the context of AI technologies, why is diversity important during design and development stages?

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  76. Question 76 of 140
    76. Question

    True or False: The development and deployment of autonomous systems is a simple process and doesn’t require continual reflection and dialogue.

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  77. Question 77 of 140
    77. Question

    Which of the following is a focus of the United States’ Algorithmic Accountability Act?

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  78. Question 78 of 140
    78. Question

    True/False: Interdisciplinary collaboration in AI ethics is necessary because a mono-disciplinary approach often falls short in addressing the complex ethical challenges presented by AI.

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  79. Question 79 of 140
    79. Question

    True or False: AI in decision-making can only increase efficiency and cannot lead to biases or discrimination.

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  80. Question 80 of 140
    80. Question

    True or False: If the teams building AI systems lack diversity in their makeup, it can lead to AI systems that reflect and perpetuate bias, discrimination, and inequality.

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  81. Question 81 of 140
    81. Question

    True or False: The widespread adoption of autonomous vehicles could lead to job losses in sectors such as trucking and taxi services.

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  82. Question 82 of 140
    82. Question

    True or False: A globally inclusive AI ethics framework should consider and respect cultural, societal, and regulatory differences.

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  83. Question 83 of 140
    83. Question

    True or False: An AI Ethics Code of Conduct is a non-essential component of embedding ethics into your organization’s AI practices.

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  84. Question 84 of 140
    84. Question

    Which of the following ethical issues are raised due to a lack of informed consent and control in the deployment of AI surveillance technologies?

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  85. Question 85 of 140
    85. Question

    What is the key to addressing privacy concerns in AI?

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  86. Question 86 of 140
    86. Question

    Why is it important to scrutinize the data collection process?

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  87. Question 87 of 140
    87. Question

    What does it mean for an AI system to perform reliably and predictably?

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  88. Question 88 of 140
    88. Question

    How does AI assist in intrusion detection and prevention in data security?

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  89. Question 89 of 140
    89. Question

    True/False: Privacy is a fundamental human right that intersects with AI, given that AI systems largely operate on data.

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  90. Question 90 of 140
    90. Question

    True or False: Ethical considerations should be embedded into the design and development of autonomous systems, rather than being an afterthought.

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  91. Question 91 of 140
    91. Question

    According to the chapter, AI should promote AI justice. What does this entail?

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  92. Question 92 of 140
    92. Question

    True/False: In the case study about AI in Education and Student Rights, the interdisciplinary project team did not involve any representatives from parent-teacher associations.

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  93. Question 93 of 140
    93. Question

    What is the digital divide in the context of AI?

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  94. Question 94 of 140
    94. Question

    True or False: To achieve diversity in AI development, systemic changes are required, including improving access to education and career opportunities in AI for underrepresented groups.

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  95. Question 95 of 140
    95. Question

    What ethical concern is raised by the use of AI for personalized marketing in the retail industry?

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  96. Question 96 of 140
    96. Question

    What does a globally inclusive AI ethics framework need to provide in addition to principles?

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  97. Question 97 of 140
    97. Question

    If your organization values transparency, which of the following could be a guiding principle?

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  98. Question 98 of 140
    98. Question

    Why is international collaboration crucial when shaping policy for superintelligent AI?

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  99. Question 99 of 140
    99. Question

    What is Machine Learning?

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  100. Question 100 of 140
    100. Question

    What is one way to increase the diversity and representativeness of training data?

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  101. Question 101 of 140
    101. Question

    The process of building trust in AI is a one-time event and doesn’t need to be repeated.

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  102. Question 102 of 140
    102. Question

    True or False: Regulations and laws in AI data privacy and security establish standards, set boundaries for acceptable practices, and introduce penalties for violations.

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  103. Question 103 of 140
    103. Question

    Discrimination by design in AI systems is:

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  104. Question 104 of 140
    104. Question

    The development of ethical autonomous systems requires the active involvement of:

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  105. Question 105 of 140
    105. Question

    As part of internal advocacy for ethical AI, what is one of the recommended practices for businesses?

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  106. Question 106 of 140
    106. Question

    What are some of the challenges in fostering interdisciplinary collaborations in AI ethics?

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  107. Question 107 of 140
    107. Question

    True or False: Policy interventions, such as upskilling programs, can help mitigate AI’s impact on job markets.

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  108. Question 108 of 140
    108. Question

    True or False: An inclusive AI curriculum involves including modules on the history of women and people of color in computing, exploring case studies from different cultural contexts, and discussing the ethical implications of AI from a global perspective.

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  109. Question 109 of 140
    109. Question

    What is a potential ethical concern regarding AI’s ability to create original content in the entertainment industry?

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  110. Question 110 of 140
    110. Question

    True or False: The United States approach to AI ethics is heavily influenced by a market-driven approach.

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  111. Question 111 of 140
    111. Question

    According to the chapter, why is regular training an essential part of implementing ethical AI in business?

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  112. Question 112 of 140
    112. Question

    What is the role of future-oriented research in preparing for the future of AI ethics?

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  113. Question 113 of 140
    113. Question

    Facial recognition technology, while helpful, raises major concerns regarding privacy and surveillance.

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  114. Question 114 of 140
    114. Question

    Why are diverse, multidisciplinary teams crucial for addressing algorithmic bias?

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  115. Question 115 of 140
    115. Question

    Companies are not responsible for the ethical implications and risks associated with their AI systems. They should solely focus on maximizing profit.

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  116. Question 116 of 140
    116. Question

    The General Data Protection Regulation (GDPR) requires organizations to follow several principles. Which of the following is NOT one of them?

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  117. Question 117 of 140
    117. Question

    What is the necessity of a human rights-based approach to AI?

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  118. Question 118 of 140
    118. Question

    Why is public engagement important in the development of ethical frameworks for autonomous systems?

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  119. Question 119 of 140
    119. Question

    How can businesses influence ethical AI practices across their industry?

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  120. Question 120 of 140
    120. Question

    How can interdisciplinary collaborations in AI ethics be institutionalized?

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  121. Question 121 of 140
    121. Question

    What is one way educational policy needs to adapt in the era of AI?

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  122. Question 122 of 140
    122. Question

    Public-private partnerships in AI aim to:

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  123. Question 123 of 140
    123. Question

    What ethical issue is associated with major technology companies’ extensive use of AI, according to the text?

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  124. Question 124 of 140
    124. Question

    The European Union has set a global standard for data protection with what regulation?

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  125. Question 125 of 140
    125. Question

    How does the chapter suggest managing potential biases in AI systems?

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  126. Question 126 of 140
    126. Question

    Which fields are involved in a cross-disciplinary approach to address the ethical challenges of AI?

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  127. Question 127 of 140
    127. Question

    The application and influence of AI are uniform across all industries.

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  128. Question 128 of 140
    128. Question

    Which of the following can be categorized as a proactive measure for ensuring Fair AI?

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  129. Question 129 of 140
    129. Question

    What is the ultimate goal while balancing the benefits and risks of AI?

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  130. Question 130 of 140
    130. Question

    The GDPR gives individuals the right to:

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  131. Question 131 of 140
    131. Question

    True or False: AI transparency involves ensuring openness and clarity about how AI systems work, make decisions, and are used.

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  132. Question 132 of 140
    132. Question

    According to the text, how should we respond to the ethical challenges presented by the development of autonomous systems?

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  133. Question 133 of 140
    133. Question

    What is the main benefit of a regulatory sandbox?

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  134. Question 134 of 140
    134. Question

    What is one of the key benefits of promoting dialogue between different worldviews and value systems within interdisciplinary collaborations in AI ethics?

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  135. Question 135 of 140
    135. Question

    True or False: Inclusive access to AI technology means AI education and the benefits derived from AI applications should be accessible to all.

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  136. Question 136 of 140
    136. Question

    The challenge of managing the societal and economic disruptions of AI requires:

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  137. Question 137 of 140
    137. Question

    True or False: AI has the potential to automate repetitive tasks, enabling employees to focus on complex tasks and strategic decision-making.

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  138. Question 138 of 140
    138. Question

    China’s approach to AI ethics tends to prioritize what over individual privacy?

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  139. Question 139 of 140
    139. Question

    What is IBM’s “AI Fairness 360” toolkit?

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  140. Question 140 of 140
    140. Question

    True or False: Independent oversight bodies, rigorous testing and certification processes for AI systems, and mechanisms for accountability are important for overseeing the development and deployment of superintelligent AI.

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