Common guideposts to promote interoperability in AI risk management

Oecd

No 5, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: 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.

Keywords: AI; AI interoperability; artificial intelligence; OECD AI Principles; OECD Guidelines for Multinational Enterprises; responsible AI; trustworthy AI (search for similar items in EconPapers)
Date: 2023-11-07
New Economics Papers: this item is included in nep-rmg
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1787/ba602d18-en (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:5-en

Access Statistics for this paper

More papers in OECD Artificial Intelligence Papers from OECD Publishing
Bibliographic data for series maintained by ().