Safety, Alignment & Ethics
Responsible AI
A framework for developing and deploying AI in ways that are ethical and accountable.
Definition
Responsible AI is a term for the set of practices, principles, and governance structures that guide ethical AI development and deployment. It encompasses fairness, transparency, accountability, privacy, security, and reliability. Most major technology companies and an increasing number of regulated businesses have responsible AI frameworks that set standards for how AI is built, tested, monitored, and governed within their organisation.
Related Terms
AI Governance
Policies, frameworks, and regulations that guide how AI is developed and used.
Transparency
The ability to understand and explain how an AI reaches its outputs.
Fairness
The goal of ensuring AI treats all people and groups equitably.
Model Card
A document that describes a model's capabilities, limitations, and intended uses.
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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·Responsible AI