Common guideposts to promote interoperability in AI risk management
The OECD AI Principles call for AI actors to be accountable for the proper functioning
of their AI systems in accordance with their role, context, and ability to act. Likewise,
the OECD Guidelines for Multinational Enterprises aim to minimise adverse impacts
that may be associated with an enterprise’s operations, products and services. To
develop ‘trustworthy’ and ‘responsible’ AI systems, there is a need to identify and
manage AI risks. As calls for the development of accountability mechanisms and risk
management frameworks continue to grow, interoperability would enhance efficiency
and reduce enforcement and compliance costs. This report provides an analysis of the
commonalities of AI risk management frameworks. It demonstrates that, while some elements
may sometimes differ, all the risk management frameworks analysed follow a similar
and sometimes functionally equivalent risk management process.
Available from November 07, 2023
In series:OECD Artificial Intelligence Papersview more titles