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What do we mean by “across the entire lifecycle”?
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What do we mean by "assessing for the full range of effects"?
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How do we balance or choose between competing Principles?
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Who or what should be considered stakeholders for AI-enabled systems?
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How do you identify ethical risk?
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What does it mean to assess and consider Human Centricity, and how does one assess the different factors in Human Security?
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How can we take into account "human diversity"?
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How do we balance military effectiveness with broader impacts on humans and the environment?
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What does “human flourishing” have to do with AI?
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What does having a person “in the loop” actually mean?
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What does “Meaningful Human Control” mean?
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What is the difference between "meaningful human control" and "appropriate human control"?
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Responsibility vs Accountability, what is the difference?
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What does GDPR mean for my AI-enabled system?
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What is meant by “an accountability gap”?
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How much understanding is sufficient? Who needs to know what?
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What does “trust” mean in relation to AI systems? How much trust is enough?
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What does "informed consent" mean?
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What do we mean by "bias"? How can I address bias in algorithmic decision-making?
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What do we mean by "harms" and what are they?
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If the AI-enabled system did not work as intended, what is the worst thing that could happen?
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Measuring Reliability: how do we decide if an AI system is “suitably” reliable?
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Measuring Robustness: how do we decide if an AI system is “suitably” robust?
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Measuring Security: how does one decide if an AI system is “suitably” secure?
