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2 cards from this section. Quick, good the night before a test.
What does inclusiveness in Responsible AI mean?
Think about equitable access.
Define accountability in the context of Responsible AI.
Consider who is responsible for AI decisions.
What is the principle of inclusiveness in Responsible AI?
Consider who gains access to AI technologies.
True or False: Accountability in Responsible AI means no one is held responsible for AI actions.
Reflect on who can be held liable for AI outcomes.
Design a Responsible AI framework for a new AI-based hiring tool. What key principles would you include, and how would you ensure their implementation?
Consider how each principle applies to user experience and outcome.
Critique a real-world AI application that failed to adhere to Responsible AI principles. Identify the missed principle and suggest improvements.
Reflect on social implications of biases in AI.
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