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Explain the concept of SHAP and its role in XAI.
What techniques can be used to make AI models more fair?
Explain how AI models create realistic game physics.
Explain the role of GANs (Generative Adversarial Networks) in art creation.
Explain the difference between data bias and algorithmic bias.
How does the bias in training data affect the performance of AI models?
How do societal biases get reflected in AI models?
How does XAI address regulatory compliance issues?
What tools or practices can help secure AI models against attacks?
Explain demographic parity and its importance in AI fairness.
How do you ensure that your models are fair and unbiased?
What are the apis outside tensorflow project?
Do you have research experience in machine learning?
How can federated learning be used to train AI models?
What are the limitations of current Generative AI models?