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What ethical concerns arise when AI models are treated as "black boxes"?
Why is it beneficial to run AI models on edge devices (IoT)?
Explain demographic parity and its importance in AI fairness.
Explain the role of GANs (Generative Adversarial Networks) in art creation.
Why is it important to address bias in AI models?
Tell us do you have research experience in machine learning?
What measures can ensure the robustness of AI systems?
How can you optimize AI models for edge deployment?
What are standardization and normalisation? Give one advantage of each over the other?
What tools do you use for managing Generative AI workflows?
Explain the concept of SHAP and its role in XAI.
What is your understanding of the different types of cloud-based machine learning services?
Explain the concept of adversarial attacks and how to protect AI models from them.
What methods are used to make AI decisions more transparent?
Discuss the ethical challenges of using AI in healthcare.
