AI for Sustainable Development

Global Center for Development and Strategy

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AI for Sustainable Development

This research explores development models that consider the social and political contexts of technology, grounded in diverse theoretical and empirical studies. It analyzes the strategic potential and limitations of AI in addressing complex global challenges—such as the digital divide, climate crisis, and norm formation—and seeks directions for more inclusive and trustworthy global technological cooperation.

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	A Blueprint for Multinational Advanced AI Development KAIST G-CODEs co-published the policy report “A Blueprint for Multinational Advanced AI Development” together with the Oxford AI Governance Initiative, Mila, and the Paris Peace Forum.The report argues that a multinational partnership could enable 'bridge powers' to preserve their sovereignty, gain greater influence in shaping global AI governance given the US-China bipolar structure in AI advancement.Precedents for such multilateral cooperation in science and technology already exist, for example, CERN, ITER or Airbus, and the necessary capabilities can be mobilized through collective action.Click Here for additional information. Created2025.12.08.
	Innovative provisions for compliance in the recent WIPO treaty Abstract: The World Intellectual Property Organization (WIPO) treaty on ‘Intellectual Property, Genetic Resources, and Traditional Knowledge’ introduces novel clauses designed to enhance compliance through an unprecedented sanction mechanism. The treaty mandates penalties for non-disclosure, including administrative sanctions and potential patent revocation in cases of fraudulent intent, thereby setting a new standard for stronger compliance frameworks. DOI: 10.1016/j.tibtech.2025.06.021 Created2025.12.08.

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