Definition
AI safety
The field focused on keeping AI systems reliable and preventing them from causing harm, especially as they get more powerful and widely used.
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Related terms in AI Fundamentals
AI embeddedThe stage where a business cannot operate if its agents stop running.AI fluencyThe ability to work well with AI: knowing what it can and can't do, judging its output critically, using it responsibly, and keeping up as the tools change.AI MemoryA new category of products that store human thoughts, moments, and context in a way AI can later organize, search, and analyze.AI nativeAn organization designed around AI agents from the start, rather than adding AI to existing processes.AI slopLow-effort, mass-produced AI content with little story or craft.AI tech stackThe combined software, hardware, and compute that supports an AI product end to end, from data and training to deployment and monitoring.AI WinterPeriod of reduced funding and interest in artificial intelligence.AI wrapperA thin product that is mostly a call to a model like ChatGPT, with little defensible logic of its own. Competitors can replicate it within a month because there is nothing beneath the API call.