AI assurance can help to provide the basis for consumers to trust the products they buy will work as intended; for industry to confidently invest in new products and services; and for regulators to monitor compliance while enabling industry to innovate at pace and manage risk.
The Introduction to AI assurance provides a grounding in AI assurance for readers who are unfamiliar with the subject area. This guide introduces key AI assurance concepts and terms and situates them within the wider AI governance landscape. As an introductory guide, this document focuses on the underlying concepts of AI assurance rather than technical detail, however it will include suggestions for further reading for those interested in learning more. As AI becomes increasingly prevalent across all sectors of the economy, it’s essential that we ensure it is well governed. AI governance refers to a range of mechanisms including laws, regulations, policies, institutions, and norms that can all be used to outline processes for making decisions about AI. The goal of these governance measures is to maximise and reap the benefits of AI technologies while mitigating potential risks and harms.
A multi-disciplinary research network linking philosophers, social scientists, computer scientists, legal scholars, and technologists.
A coalition calling for transparency on OpenAI's efforts to transition from public benefit nonprofit to for-profit
Empowering communities to influence the development of AI initiatives, through access to education and training.
OECD.AI is an online interactive platform dedicated to promoting trustworthy, human-centric artificial intelligence (AI).
