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Security risks from AI have motivated calls for international agreements that guardrail the technology. However, even if states could agree on what rules to set on AI, the problem of verifying compliance might make these agreements…

Computers and Society · Computer Science 2023-04-11 Mauricio Baker

International agreements about AI development may be required to reduce catastrophic risks from advanced AI systems. However, agreements about such a high-stakes technology must be backed by verification mechanisms--processes or tools that…

Computers and Society · Computer Science 2025-06-23 Aaron Scher , Lisa Thiergart

International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI's ability to further sustainable development, and coordination of regulatory efforts…

The development of privacy-enhancing technologies has made immense progress in reducing trade-offs between privacy and performance in data exchange and analysis. Similar tools for structured transparency could be useful for AI governance by…

Artificial Intelligence · Computer Science 2023-03-22 Emma Bluemke , Tantum Collins , Ben Garfinkel , Andrew Trask

The rapid adoption of AI across diverse domains has led to the development of organisational guidelines that vary significantly, even within the same sector. This paper examines AI policies in two domains, news organisations and…

Computers and Society · Computer Science 2025-03-11 Lucie-Aimée Kaffee , Pepa Atanasova , Anna Rogers

The analogy between Artificial Intelligence (AI) and nuclear weapons is prominent in academic and policy discourse on AI governance. This chapter reviews 43 scholarly works which explicitly draw on the nuclear domain to derive lessons for…

Computers and Society · Computer Science 2025-10-27 Sophia Hatz

The risks of frontier AI may require international cooperation, which in turn may require verification: checking that all parties follow agreed-on rules. For instance, states might need to verify that powerful AI models are widely deployed…

Computers and Society · Computer Science 2025-07-29 Mauricio Baker , Gabriel Kulp , Oliver Marks , Miles Brundage , Lennart Heim

Artificial Intelligence (AI) governance regulates the exercise of authority and control over the management of AI. It aims at leveraging AI through effective use of data and minimization of AI-related cost and risk. While topics such as AI…

Artificial Intelligence · Computer Science 2025-07-17 Johannes Schneider , Rene Abraham , Christian Meske , Jan vom Brocke

Evaluating the safety of AI Systems is a pressing concern for organizations deploying them. In addition to the societal damage done by the lack of fairness of those systems, deployers are concerned about the legal repercussions and the…

Governments, industry, and other actors involved in governing AI technologies around the world agree that, while AI offers tremendous promise to benefit the world, appropriate guardrails are required to mitigate risks. Global institutions,…

Computers and Society · Computer Science 2024-09-18 A. Leone De Castris , C. Thomas

As AI capabilities advance rapidly, flexible hardware-enabled guarantees (flexHEGs) offer opportunities to address international security challenges through comprehensive governance frameworks. This report examines how flexHEGs could enable…

Cryptography and Security · Computer Science 2025-06-19 Onni Aarne , James Petrie

Organizations of all sizes, across all industries and domains are leveraging artificial intelligence (AI) technologies to solve some of their biggest challenges around operations, customer experience, and much more. However, due to the…

Computers and Society · Computer Science 2022-11-24 Navdeep Gill , Abhishek Mathur , Marcos V. Conde

This policy report draws on country studies from China, South Korea, Singapore, and the United Kingdom to identify effective tools and key barriers to interoperability in AI safety governance. It offers practical recommendations to support…

Computers and Society · Computer Science 2026-01-13 Yik Chan Chin , David A. Raho , Hag-Min Kim , Chunli Bi , James Ong , Jingbo Huang , Serge Stinckwich

Purpose: The governance of artificial iintelligence (AI) systems requires a structured approach that connects high-level regulatory principles with practical implementation. Existing frameworks lack clarity on how regulations translate into…

Computers and Society · Computer Science 2025-09-16 Avinash Agarwal , Manisha J. Nene

This report describes trade-offs in the design of international governance arrangements for civilian artificial intelligence (AI) and presents one approach in detail. This approach represents the extension of a standards, licensing, and…

Cooperation between the United States and China, the world's leading artificial intelligence (AI) powers, is crucial for effective global AI governance and responsible AI development. Although geopolitical tensions have emphasized areas of…

Computers and Society · Computer Science 2025-05-13 Saad Siddiqui , Lujain Ibrahim , Kristy Loke , Stephen Clare , Marianne Lu , Aris Richardson , Conor McGlynn , Jeffrey Ding

The malicious use or malfunction of advanced general-purpose AI (GPAI) poses risks that, according to leading experts, could lead to the 'marginalisation or extinction of humanity.' To address these risks, there are an increasing number of…

Computers and Society · Computer Science 2025-03-26 Rebecca Scholefield , Samuel Martin , Otto Barten

This paper examines how international AI governance frameworks address gender issues and gender-based harms. The analysis covers binding regulations, such as the EU AI Act; soft law instruments, like the UNESCO Recommendations on AI Ethics;…

Computers and Society · Computer Science 2025-12-11 Jelena Cupac

Artificial intelligence (AI) represents a technological upheaval with the potential to change human society. Because of its transformative potential, AI is increasingly becoming subject to regulatory initiatives at the global level. Yet, so…

General Economics · Economics 2023-05-22 Jonas Tallberg , Eva Erman , Markus Furendal , Johannes Geith , Mark Klamberg , Magnus Lundgren

Artificial Intelligence (AI) has the potential to revolutionize various sectors, yet its adoption is often hindered by concerns about data privacy, security, and the understanding of AI capabilities. This paper synthesizes AI governance…

Computers and Society · Computer Science 2024-10-04 Dian W. Tjondronegoro
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