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Explain the importance of inclusive design in reducing AI bias.
How would you handle bias when it is deeply embedded in the training data?
What are the key challenges in balancing accuracy and fairness in AI systems?
How do you measure fairness in an AI model?
Can bias ever be fully removed from AI systems? Why or why not?
What are the key AI regulations organizations need to follow?
How does regulation compliance enhance trust in AI systems?
What challenges arise when implementing AI governance frameworks?
How can AI developers stay updated on regulatory requirements?
Explain the importance of audit trails in AI regulation compliance.
What role do ethics boards play in AI governance?
How can companies demonstrate transparency to regulators and stakeholders?
What are the penalties for non-compliance with AI regulations?
How do industry-specific regulations impact AI development?
What is the role of international standards in AI governance?
