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How does the bias in training data affect the performance of AI models?
Tell us do you have research experience in machine learning?
What are your strengths and weaknesses in AI?
How can you detect bias in AI models?
How does AI intersect with human bias and societal inequities?
What tools or practices can help secure AI models against attacks?
Explain the risks of adversarial attacks on AI models.
How can federated learning be used to train AI models?
How do Generative AI models create synthetic data?
Is this artificial intelligence lives over the other software programs and their flexibility?
What are Large Language Models (LLMs), and how do they relate to foundation models?
How do you identify and mitigate bias in Generative AI models?
What are the biggest challenges you see in AI implementation across industries?
What techniques can improve the explainability of AI models?
Explain the concept of adversarial attacks and how to protect AI models from them.
