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4 cards from this section. Quick, good the night before a test.
What does accountability mean in the context of AI?
Think about who is responsible when an AI makes a mistake.
Name one framework that supports accountability in AI.
Consider documents or groups that serve to clarify responsibilities.
What is accountability in AI?
Consider who answers for the AI's mistakes.
True or False: Model Cards are important for transparency in AI.
Think about what they document.
Design a framework that outlines accountability measures for an AI health monitoring system. Include stakeholders and outcome measures.
Consider who interacts with the system and how they impact its use.
Analyze how a lack of accountability can affect public trust in AI technologies. Provide real-life examples of AI failures that lacked accountability.
Think about societal consequences and trust issues related to transparency.
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