Safety, Alignment & Ethics
AI Safety
The field focused on preventing AI from causing harm — intentional or unintentional.
Definition
AI safety covers a broad range of research and engineering efforts aimed at making AI systems behave reliably, predictably, and in ways that benefit humanity. Near-term safety work focuses on preventing hallucinations, bias, misuse, and prompt injection in current systems. Longer-term safety research addresses the challenge of ensuring that increasingly powerful AI remains aligned with human values even as its capabilities grow.
Related Terms
AI Alignment
The challenge of ensuring AI systems pursue goals that match human values and intentions.
Guardrails
Rules or filters built into an AI system to prevent harmful or inappropriate outputs.
Red Teaming
Deliberately trying to find flaws or harmful behaviours in an AI before deployment.
Hallucination
When an AI confidently produces false information it has invented.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Safety, Alignment & Ethics·AI Safety