Nutritional Label for AI
A standardised, accessible summary of an AI system's key technical and operational characteristics, including training data sources, performance metrics, known limitations and relevant ethical considerations.
In plain language
A simple, standardised fact sheet about an AI system, like a food nutrition label but for AI. It tells you what data trained it, how accurate it is, where it struggles and any ethical concerns.
Why this matters
Nutritional labels for AI support transparency and accountability. They enable non-technical stakeholders like board members, customers and regulators to make informed decisions about AI deployment. Adopting this approach addresses key governance requirements around explainability and informed consent.
Relevance
GovernanceEnables transparency and informed decision-making by making technical AI information accessible to non-technical stakeholders and decision-makers.
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