AI glossary · Ethics, safety and privacy
AI safety
AI safety is the work of making sure AI systems behave reliably and don’t cause harm, from everyday mistakes to serious misuse and long-term risks.
In more detail
Safety work includes testing models for dangerous capabilities, red teaming, building guardrails, preventing misuse and studying how to keep advanced systems aligned with human intentions.
Some researchers focus on harms happening now, like misinformation and scams; others on risks from much more powerful future systems. Both are part of the field.
Related terms
AI alignmentAI alignment is the challenge of making an AI system’s goals and behaviour match what people actually intend and value.GuardrailsGuardrails are checks and limits built into an AI product to stop harmful, off-topic or unauthorised outputs and actions.Red teamingRed teaming is deliberately attacking an AI system, the way an adversary would, to find weaknesses before it is released.Frontier modelA frontier model is one of the most advanced AI models available at a given time, the kind that pushes the limits of what AI can do.Responsible AIResponsible AI is the practice of building and using AI in ways that are safe, fair, transparent and accountable, with people kept in control.
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