Answer / Aditya Prakash

Regulatory bodies play a critical role in ensuring AI safety by setting guidelines, establishing standards, and enforcing regulations for the development and deployment of AI systems. Examples include the European Union's General Data Protection Regulation (GDPR), the Algorithmic Accountability Act, and the Federal Trade Commission's guidelines on using artificial intelligence.

What techniques can be used to detect bias in AI systems?

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What is the significance of fairness in AI, and how do you define it?

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What role do regulatory bodies play in ensuring AI safety?

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Explain the importance of audit trails in AI regulation compliance.

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What ethical considerations arise in autonomous decision-making systems?

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Explain the impact of overfitting and underfitting on AI safety.

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How can AI developers ensure ethical handling of sensitive data?

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What are the key challenges in balancing accuracy and fairness in AI systems?

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How would you address fairness in AI for multi-lingual or global applications?

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How do biases in AI models amplify existing inequalities?

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How can unintended consequences in AI behavior be avoided?

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How do you assess the privacy risks of a new AI project?

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