What measures can ensure the robustness of AI systems?
What ethical considerations arise in AI systems that learn from user behavior?
How can AI companies address societal fears about automation?
What role do regulatory bodies play in ensuring AI safety?
Explain the difference between data bias and algorithmic bias.
Can AI systems ever be completely free of bias? Why or why not?
How do industry-specific regulations impact AI development?
Provide examples of industries where fairness in AI is particularly critical.
What are the ethical dilemmas of using AI in autonomous systems?
How would you handle a conflict between AI performance and ethical constraints?
How can fairness in AI improve its societal acceptance?
What frameworks or guidelines have you used to address ethical issues in AI projects?
What are the risks of overfitting models to sensitive user data?
How can unintended consequences in AI behavior be avoided?
How would you address fairness in AI for multi-lingual or global applications?