AI EncyclopediaSafety, governance & policy
Responsible AI & AI Governance
The organisational practice of overseeing AI systems for safety, fairness, accountability and regulatory alignment across their lifecycle - and the frameworks, like NIST's AI Risk Management Framework, organisations use to operationalise it.
In plain English
It's the set of habits and checks an organisation builds around its use of AI - who is accountable when a model gets something wrong, how bias gets tested for, what gets documented before a system goes live - so that adopting AI doesn't mean adopting its risks blindly.
Technical explanation
AI governance is the broader organisational process for overseeing AI systems, policies, ethics, accountability and regulatory alignment; a risk-management framework operationalises it into a concrete methodology. The U.S. National Institute of Standards and Technology's AI Risk Management Framework (AI RMF) is a voluntary, technology-agnostic, sector-neutral framework built around four functions - Govern, Map, Measure and Manage - aimed at risks including harmful bias, model drift, unsafe outputs, explainability gaps and AI supply-chain risk. It is guidance, not regulation - a structure organisations adapt rather than a law they must comply with.
Why it matters
As AI moves from experimentation into regulated, high-stakes decisions - lending, hiring, healthcare, government services - governance frameworks are what let an organisation demonstrate it managed those risks deliberately rather than by accident, which increasingly matters to regulators, customers and insurers alike.
Real-world example
The UAE's own National Strategy for Artificial Intelligence 2031 sits in this category at a national level - an official government framework for AI adoption, coordinated through the Emirates Council for Artificial Intelligence and Digital Transactions, rather than a single company's internal policy.
Common misunderstanding
That 'AI governance' and 'AI regulation' are the same thing. Governance is what an organisation does internally, voluntarily or by policy; regulation is what a government requires by law - a company can have strong internal governance in a jurisdiction with light-touch regulation, or vice versa.
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