What are some common AI ethics interview questions I should prepare for?
Common questions include: 1) How do you define AI ethics? 2) Can you give an example of bias in AI? 3) What are the implications of AI in decision-making?
Can you elaborate on bias in AI?
Bias in AI refers to systematic errors that result in unfair outcomes. For example, if a hiring algorithm is trained on biased data, it may favor certain demographics over others.
What steps can be taken to mitigate AI bias?
To mitigate AI bias, you can ensure diverse training data, conduct regular audits, and implement fairness metrics during model evaluation.
What ethical frameworks are commonly used in AI?
Common ethical frameworks include utilitarianism, deontological ethics, and virtue ethics, each providing different perspectives on AI decision-making.
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