What are some advanced techniques in AI and RAI?
Advanced techniques in AI include deep learning, reinforcement learning, and transfer learning, while RAI focuses on fairness, accountability, and transparency.
Can you explain deep learning and its applications?
Deep learning is a subset of machine learning using neural networks with many layers. It's used in image recognition, natural language processing, and more.
What is reinforcement learning and how does it work?
Reinforcement learning is a type of machine learning where an agent learns to make decisions by receiving rewards or penalties based on its actions.
How can we ensure fairness in AI systems?
Ensuring fairness in AI involves using diverse training data, regular audits, and implementing fairness-aware algorithms.
What are some challenges in implementing RAI?
Challenges in implementing RAI include bias in data, lack of transparency, and the difficulty of measuring accountability.
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