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Explain the difference between data bias and algorithmic bias.
How is AI used in procedural content generation?
Explain demographic parity and its importance in AI fairness.
Can you explain how AI is used in predictive maintenance for industrial equipment?
How do biases in AI models amplify existing inequalities?
What are standardization and normalisation? Give one advantage of each over the other?
What challenges do organizations face in implementing fairness in AI models?
What tools do you use for managing Generative AI workflows?
How do you ensure that your models are fair and unbiased?
Do you have research experience in machine learning?
How do you identify and mitigate bias in Generative AI models?
What are the limitations of AI in cybersecurity?
What are the advantages of low-power AI models?
How does AI intersect with human bias and societal inequities?
Explain the concept of adversarial attacks and how to protect AI models from them.
