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The term AI stands for Artificial Intelligence. AI refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. AI can encompass a wide range of technologies and approaches, including machine learning, natural language processing, computer vision, and robotics.

Machine learning is a subfield of AI that focuses on developing algorithms that enable machines to automatically learn and improve from experience without being explicitly programmed. This is often done by training the machine on a large amount of data and allowing it to make predictions or draw conclusions based on patterns found in that data.

While AI and machine learning are often used interchangeably, AI is a broader concept that includes not only machine learning but also other approaches to mimicking human intelligence in machines.

AI has a wide range of applications across numerous industries and fields. It is used in fields such as healthcare, finance, manufacturing, transportation, and entertainment. Examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, fraud detection systems, and personalized recommendations on websites.

AI has the potential to revolutionize many aspects of our lives, but it also raises ethical concerns and challenges. These include issues such as job displacement, privacy and data security, transparency and accountability, and bias and fairness in decision-making algorithms.

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