AI Glossary: 56 Key Terms Everyone Should Know Artificial intelligence is reshaping the world—from eliminating jobs and flooding the web with AI-generated content (“slop”) to transforming global economies, with McKinsey estimating its potential impact at $4.4 trillion annually . With tools like ChatGPT, Google Gemini, Microsoft Copilot, Claude, and Perplexity , AI is becoming central to daily life, search engines, and productivity apps.
To keep up, it’s important to understand the growing AI vocabulary . CNET’s AI glossary explains 56 must-know terms, covering everything from the basics of AI, algorithms, and chatbots to advanced concepts like AGI (artificial general intelligence), generative AI, diffusion models, multimodal AI, and neural networks . It also dives into ethical issues like bias, AI safety, alignment, and guardrails , plus industry slang such as slop , stochastic parrots , and the paperclip maximizer scenario .
Whether you’re a student, professional, or simply curious, this evolving glossary helps you navigate the AI landscape , understand cutting-edge terms, and sound knowledgeable in conversations or interviews.
👉 Full glossary: CNET – 56 AI Terms Everyone Should Know
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