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...
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| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2023
|
| Schriftenreihe: | OECD Artificial Intelligence Papers
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (43 Seiten) 21 x 28cm |
| DOI: | 10.1787/ba602d18-en |
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| language | English |
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| spelling | Common guideposts to promote interoperability in AI risk management Organisation for Economic Co-operation and Development Paris OECD Publishing 2023 1 Online-Ressource (43 Seiten) 21 x 28cm txt rdacontent c rdamedia cr rdacarrier OECD Artificial Intelligence Papers 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 Education Employment Governance Social Issues/Migration/Health Science and Technology https://doi.org/10.1787/ba602d18-en Verlag kostenfrei Volltext |
| spellingShingle | Common guideposts to promote interoperability in AI risk management Education Employment Governance Social Issues/Migration/Health Science and Technology |
| title | Common guideposts to promote interoperability in AI risk management |
| title_auth | Common guideposts to promote interoperability in AI risk management |
| title_exact_search | Common guideposts to promote interoperability in AI risk management |
| title_full | Common guideposts to promote interoperability in AI risk management Organisation for Economic Co-operation and Development |
| title_fullStr | Common guideposts to promote interoperability in AI risk management Organisation for Economic Co-operation and Development |
| title_full_unstemmed | Common guideposts to promote interoperability in AI risk management Organisation for Economic Co-operation and Development |
| title_short | Common guideposts to promote interoperability in AI risk management |
| title_sort | common guideposts to promote interoperability in ai risk management |
| topic | Education Employment Governance Social Issues/Migration/Health Science and Technology |
| topic_facet | Education Employment Governance Social Issues/Migration/Health Science and Technology |
| url | https://doi.org/10.1787/ba602d18-en |