World Economic Forum: Governance in the Age of Generative AI

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World Economic Forum·weforum.org/publications/governance-in-the-age-of-generat...

Credibility Rating

4/5

High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: World Economic Forum

A WEF report aimed at global policymakers and business leaders; represents mainstream institutional thinking on AI governance rather than technical AI safety research, useful for understanding the policy landscape surrounding generative AI.

Metadata

Importance: 52/100organizational reportanalysis

Summary

This World Economic Forum publication examines frameworks and policy recommendations for governing generative AI technologies at a global level. It addresses the challenges of balancing innovation with risk mitigation, proposing multi-stakeholder governance structures and international coordination mechanisms. The report targets policymakers, industry leaders, and civil society actors engaged in shaping AI governance.

Key Points

•Calls for adaptive, multi-stakeholder governance frameworks capable of keeping pace with rapid generative AI development.
•Highlights the need for international coordination to prevent regulatory fragmentation and governance gaps across jurisdictions.
•Addresses risks including misinformation, labor displacement, bias, and misuse of generative AI systems.
•Proposes principles-based regulation combined with sector-specific guidelines to balance innovation and safety.
•Emphasizes the role of public-private partnerships in building shared norms and accountability mechanisms for AI.

Cited by 1 page

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Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation 2024 | World Economic Forum
 
 
 
 

 
 
 
 

 
 

 

 

 

 

 
 
 

 

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 
 

 
 

 
 
 

 
 
 

 

 

 

 
 
 
 

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The Wayback Machine - http://web.archive.org/web/20260301173546/https://www.weforum.org/publications/governance-in-the-age-of-generative-ai/

 
 
 
 
 

 

 

 
 

 
 

 

 

 

 

 

 

 
 

 
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 Published: 8 October 2024
 

 

 

 Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation
 

 

 

 

 

 

 

 
 

 
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In a time of rapid innovation and global uncertainty, generative artificial intelligence (AI) emerges as a transformative force, reshaping industries, economies, and societies worldwide. This pivotal moment demands visionary leadership and a collaborative approach to anticipatory governance.

 

 

 
 
 
 

 
 
 
 
 
 
 

 
 
 
 
 
 
 

 
 
 
 
 
 
 

 
 
 
 
 

 
 

 
 

 

 
 

 
 

 

 

 

 

 

 

 
In a time of rapid innovation and global uncertainty, generative artificial intelligence (AI) emerges as a transformative force, reshaping industries, economies, and societies worldwide. This pivotal moment demands visionary leadership and a collaborative approach to anticipatory governance.

 
In partnership with Accenture, the AI Governance Alliance’s Resilient Governance and Regulation working group, composed of leading stakeholders from industry, government, civil society, and academia, seeks to advance public-private and international cooperation to facilitate an anticipatory, inclusive and interoperable global AI governance environment. 

 
This white paper equips policy-makers and regulators with implementable strategies for resilient generative AI governance contained within a 360-degree governance framework. The pillars of the comprehensive framework address regulatory gaps, stakeholder-specific governance challenges and the evolving demands of this rapidly advancing technology.

 

 

 
 

 
 Download PDF
 
 

 
 

 
License and Republishing

 
World Economic Forum reports may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

 

 

 

 

 

 

 

 
 Further reading
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Balancing innovation and governance in the age of AI

The AI Governance Alliance's recent report outlines three pillars to tackle AI-related challenges such data privacy, algorithmic bias and transparency.

 

Generative A

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