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Ensuring that we all benefit from AI while its risks are sufficiently mitigated will require one or more international institutions that implement and enforce international rules on AI. Dozens of institutional designs for AI governance have been recommended by experts, States and international organizations. With the potential exception of the forthcoming UN Independent International Scientific Panel on AI and the Global Dialogue on AI Governance, these institutions have not been created yet.
The most effective international agreements contain robust verification and enforcement mechanisms. States, whether adversarial or not, may be reluctant to enter an international agreement on AI without reliable, secure and privacy-preserving methods to produce timely information on compliance. Hardware-enabled mechanisms have emerged as promising policy solutions for verification and enforcement in international AI governance.
While AI poses serious risks, it also promises to be one of the most positively transformative technologies in the history of humanity. However, it is almost certain that AI benefits are not going to be distributed evenly or widely accessible by default. Conscious of this reality, and of not being left behind, many countries that are not at the frontier of AI development are likely to condition their participation in an international AI governance regime on the distribution of its benefits.
Advanced AI systems pose a plausible threat to international security given that they can facilitate cyberattacks on critical national infrastructure or aid malicious actors in the creation of weapons of mass destruction. These and other scenarios could lead to global emergencies, with transboundary consequences that require a coordinated international response.
As an emerging and fast-paced technology, AI presents significant challenges for the identification and evaluation of risks, as well as for technological sovereignty. International technical cooperation among States and other actors may be required to build capacity, reach scientific consensus on the risks and benefits of AI, conduct joint safety and security research, develop technical mechanisms for verification and enforcement and AI for good, among other areas.
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Many leading AI experts and governments agree that certain practices relating to AI should be internationally prohibited to reduce the likelihood of global scale harm. Top scientists from the United States and China agree that red lines for AI development should include autonomous replication or improvement, power seeking, assistance with weapon development, cyberattacks and deception.
Many international efforts on AI governance focus on the development of principles and best practices to mitigate risks from AI. These can serve as the basis for international technical standards that establish requirements for advanced AI developers and enhance coherence, harmonization, and regulatory effectiveness across jurisdictions.
Global challenges require global coordination.

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