In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

International cooperation is common in AI research, including between geopolitical rivals. While many experts advocate for greater international cooperation on AI safety to address shared global risks, some view cooperation on AI with suspicion, arguing that it can pose unacceptable risks to national security. However, the extent to which cooperation on AI safety poses such risks, as well as provides benefits, depends on the specific area of cooperation. In this paper, we consider technical factors that impact the risks of international cooperation on AI safety research, focusing on the degree to which such cooperation can advance dangerous capabilities, result in the sharing of sensitive information, or provide opportunities for harm. We begin by why nations historically cooperate on strategic technologies and analyse current US-China cooperation in AI as a case study. We further argue that existing frameworks for managing associated risks can be supplemented with consideration of key risks specific to cooperation on technical AI safety research. Through our analysis, we find that research into AI verification mechanisms and shared protocols may be suitable areas for such cooperation. Through this analysis we aim to help researchers and governments identify and mitigate the risks of international cooperation on AI safety research, so that the benefits of cooperation can be fully realised.

Authors

Institutions

Publication Details

Journal
SuperIntelligence - Robotics - Safety & Alignment
Published
2025-08-11
DOI
https://doi.org/10.70777/si.v2i5.15509
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

Benjamin Harack, Ben Bucknall, Robert Trager, Yoshua Bengio et al.
1 citations
SuperIntelligence - Robotics - Safety & Alignment
Ethics and Social Impacts of AI
2.37
article

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

Benjamin Harack, Ben Bucknall, Robert Trager, Yoshua Bengio, Saad Siddiqui, Lara Thurnherr, Conor McGurk
article en
1 citations

Abstract

International cooperation is common in AI research, including between geopolitical rivals. While many experts advocate for greater international cooperation on AI safety to address shared global risks, some view cooperation on AI with suspicion, arguing that it can pose unacceptable risks to national security. However, the extent to which cooperation on AI safety poses such risks, as well as provides benefits, depends on the specific area of cooperation. In this paper, we consider technical factors that impact the risks of international cooperation on AI safety research, focusing on the degree to which such cooperation can advance dangerous capabilities, result in the sharing of sensitive information, or provide opportunities for harm. We begin by why nations historically cooperate on strategic technologies and analyse current US-China cooperation in AI as a case study. We further argue that existing frameworks for managing associated risks can be supplemented with consideration of key risks specific to cooperation on technical AI safety research. Through our analysis, we find that research into AI verification mechanisms and shared protocols may be suitable areas for such cooperation. Through this analysis we aim to help researchers and governments identify and mitigate the risks of international cooperation on AI safety research, so that the benefits of cooperation can be fully realised.

SuperIntelligence - Robotics - Safety & AlignmentVol. 2(5)
Institute on Governance (CA), King's College London (GB), University of Oxford (GB), Centre Universitaire de Mila (DZ), Substance Abuse Free Environment (US), Mila - Quebec Artificial Intelligence Institute (CA)
Partnerships for the goals
Openalex Percentile: Top 10%
Ethics and Social Impacts of AI
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate? — Benjamin Harack, Ben Bucknall, et al. · SuperIntelligence - Robotics - Safety & Alignment (2025) | TGRS Research Map | TGRS