How can feedback loops in AI systems reinforce or mitigate bias?
How can preprocessing techniques reduce bias in datasets?
What is the significance of fairness in AI, and how do you define it?
Can ethics in AI conflict with business goals? How do you address this?
How can developers be trained to follow ethical practices in AI?
How can post-processing techniques help ensure fairness in AI outputs?
What strategies can help align AI systems with human values?
How do ethical concerns differ between general-purpose AI and domain-specific AI?
Can AI systems ever be completely free of bias? Why or why not?
Can bias ever be fully removed from AI systems? Why or why not?
How do beneficence and non-maleficence apply to AI ethics?
How would you ensure accountability in AI systems?
Explain the importance of audit trails in AI regulation compliance.
Explain the concept of Local Interpretable Model-agnostic Explanations (LIME).
What are the societal benefits of explainable AI?