How can we measure ethical practices in AI?
Measuring ethical practices in AI involves assessing transparency, fairness, accountability, and impact on society.
What specific metrics can be used to evaluate fairness?
Metrics like demographic parity, equal opportunity, and predictive parity can help evaluate fairness in AI systems.
How do we ensure accountability in AI decision-making?
Accountability can be ensured through clear documentation, audit trails, and establishing responsibility for AI outcomes.
What role does user feedback play in measuring ethics?
User feedback is crucial as it provides insights into the real-world impact of AI systems and helps identify ethical concerns.
Can you give examples of ethical AI practices?
Examples include bias mitigation strategies, inclusive design, and regular ethical audits of AI systems.
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