AI Glossary: Top 20 AI Terms that You Should Know

Artificial intelligence encompasses systems that perform tasks associated with human intelligence, including pattern recognition, decision-making, perception, and problem-solving, and supports applications ranging from medical diagnosis and fraud detection to recommendations and automation. The overview distinguishes major AI fields and methods, including machine learning, deep learning, neural networks, natural language processing, computer vision, reinforcement learning, generative AI, and large language models, while explaining how supervised, unsupervised, semi-supervised, and transfer learning use data differently. It also addresses practical concepts such as data mining, cognitive computing, and the Turing Test, alongside technical challenges including overfitting and underfitting. The discussion emphasizes that responsible AI depends on reducing bias, applying ethical principles such as fairness, privacy, accountability, and human oversight, and using explainable AI to make automated decisions more understandable and trustworthy, particularly in high-impact sectors such as healthcare, finance, hiring, and law enforcement.

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