What are the best practices for evaluating the impact of AI?
An example of an AI chatbot conversation about best practices in AI impact evaluation.
What are the best practices for evaluating the impact of AI?
Best practices include defining clear objectives, using appropriate metrics, and ensuring stakeholder involvement.
Can you elaborate on the metrics I should use?
Sure! Common metrics include accuracy, precision, recall, and user satisfaction, depending on your AI's purpose.
How do I involve stakeholders in the evaluation process?
Engage stakeholders through surveys, interviews, and workshops to gather their insights and feedback.
What challenges should I be aware of during evaluation?
Challenges include data quality issues, bias in AI models, and resistance from stakeholders to change.
Any resources you recommend for further reading?
Yes, I recommend looking into the AI Impact Assessment Toolkit and the guidelines from the Partnership on AI.
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