IN THIS LESSON

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    Read only the following sections: 

    • Executive Summary (p. 2-4)

    • What Determines the Need for Internationalisation? (p. 12-16)

    As AI advances, states increasingly recognise the need for international governance to address shared benefits and challenges. However, international cooperation is complex and costly, and not all AI issues require cooperation at the international level. This paper presents a novel framework to identify and prioritise AI governance issues warranting internationalisation.

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    This article gives an overview of the landscape of international AI governance initiatives and argues that semi-centralised regime organised around multiple AI-specific international institutions offers a more viable pathway for coordinating global AI governance despite the risk of further fragmenting the institutional landscape.

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    Provides a comprehensive overview of the AISI Network, offering insights into the challenges and opportunities in global AI governance.

    Alex, the author, is a Talos alum!

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    The article distinguishes between organisational-level AI standards and product-level AI standards explaining how the EU's forthcoming harmonised standards under the AI Act represent a unique approach.

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    Standards development organisations face three critical challenges: their industry-led model may lack legitimacy for complex value judgments embedded in AI systems, uncertainty about what technical details should be standardised versus left to other governance mechanisms, and whether standards can truly facilitate international coordination given rising geopolitical tensions.

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    Read only:

    • Introduction (p. 4-5)

    • Why does including civil society in AI-related decision making matter? (p. 9-10)

    • Section 02 overview (pages 20-21) - Representation of affected communities (p. 22-24)

    • AI Governance: Our call to action (p. 34-35)

    This report examines the barriers civil society organisations face in participating in global AI governance.

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    This investigative report exposes how Big Tech corporations systematically weakened the EU's Code of Practice for general-purpose AI.