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Explain the difference between supervised, unsupervised, and reinforcement learning.
Do you have research experience in machine learning?
What challenges do organizations face in implementing fairness in AI models?
How can federated learning be used to train AI models?
What are your strengths and weaknesses in AI?
What are the biggest challenges you see in AI implementation across industries?
What are the risks of using open-source Generative AI models?
What are standardization and normalisation? Give one advantage of each over the other?
What are the benefits and risks of using AI in financial risk analysis?
Why is data considered crucial in AI projects?
How do you measure fairness in an AI model?
What are pretrained models, and how do they work?
How is AI used in procedural content generation?
What frameworks can you use for ethical AI development?
What are the limitations of AI in cybersecurity?