Definition
AI safety is the work of keeping AI systems reliable, under human control, and free from causing harm.
At a glance
- Three failure modes: accidents, misuse, and loss of control.[1][2]
- Alignment means an AI’s goals match human intent; misalignment is a well-meaning system gone wrong.[4]
- For most businesses, the real risk is misuse and access, not superintelligence.
- Governments now test AI pre-release (UK Safety Institute, EU AI Act 2024).[3]
What it means
A system fails one of two ways: misuse, or pursuing the wrong goal on its own. The field spans robustness (safe in new conditions), assurance (humans can understand it), and specification (it does what was intended).
Why it matters to you
Real threats: an agent with too much access, unchecked outputs, a chatbot tricked by a malicious prompt, poisoned data. Fixes: limit access, keep a human on key decisions, use guardrails, and monitor.
Bottom line
Pick trusted vendors, control access, and review key outputs, and AI becomes a tool you can trust.