explainable AI

Explainable AI (XAI) refers to artificial intelligence systems designed to provide clear and understandable explanations for their decisions and actions. It aims to improve transparency and trust in AI applications.

What are some emerging trends in AI research and development?

Some of the emerging trends in AI research and development include deep learning, natural language processing, explainable AI, reinforcement learning, and AI ethics. Deep learning involves training artificial neural networks with large amounts of data to solve complex problems. Natural language processing focuses on enabling machines to understand and generate human language. Explainable AI aims to make AI systems more transparent and interpretable. Reinforcement learning involves training an AI agent to learn and improve through trial and error. AI ethics addresses the ethical implications and concerns surrounding the development and deployment of AI systems.

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