Explain the concept of informed consent in data collection.
How do biases in AI models amplify existing inequalities?
What steps can be taken to secure user data in AI systems?
What measures can ensure equitable access to AI technologies?
What are the risks of overfitting models to sensitive user data?
What role does explainability play in mitigating bias?
Explain the impact of overfitting and underfitting on AI safety.
How can fairness in AI improve its societal acceptance?
How can AI companies address societal fears about automation?
How would you define AI ethics in your own words?
How would you handle bias when it is deeply embedded in the training data?
Explain the risks of adversarial attacks on AI models.
What is the role of multidisciplinary teams in addressing AI ethics?
How can companies demonstrate transparency to regulators and stakeholders?
What ethical considerations arise in AI systems that learn from user behavior?