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How do societal biases get reflected in AI models?
Explain the risks of adversarial attacks on AI models.
How can you detect bias in AI models?
What methods are used to make AI decisions more transparent?
What is your understanding of the different types of cloud-based machine learning services?
Explain the difference between supervised, unsupervised, and reinforcement learning.
What techniques can be used to make AI models more fair?
Explain demographic parity and its importance in AI fairness.
Can you explain how AI is used in predictive maintenance for industrial equipment?
Why is it beneficial to run AI models on edge devices (IoT)?
How do you measure fairness in an AI model?
Provide examples of industries where fairness in AI is particularly critical.
Explain how AI models create realistic game physics.
How do low-power AI models work in constrained environments?
What are standardization and normalisation? Give one advantage of each over the other?
