mlsanityData to 7 Oct 2026

The Role of Cooperation in Responsible AI Development

arXiv 1907.04534 ↗First posted 10 Jul 2019cs.CY cs.AIcited by 21

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Abstract (arXiv)

In this paper, we argue that competitive pressures could incentivize AI companies to underinvest in ensuring their systems are safe, secure, and have a positive social impact. Ensuring that AI systems are developed responsibly may therefore require preventing and solving collective action problems between companies. We note that there are several key factors that improve the prospects for cooperation in collective action problems. We use this to identify strategies to improve the prospects for industry cooperation on the responsible development of AI.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jul 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 1; 2023: 6; 2024: 4; 2025: 3; 2026: 3.

21 papers.

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  1. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 609
  2. 2021Trustworthy AI: From Principles to Practicescited by 206
  3. 2022Is Power-Seeking AI an Existential Risk?cited by 101
  4. 2025Infrastructure for AI Agentscited by 40
  5. 2024The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?cited by 20
  6. 2023`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Valuescited by 18
  7. 2025Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agentscited by 11
  8. 2021Voluntary safety commitments provide an escape from over-regulation in AI developmentcited by 10
  9. 2024Responsible Reporting for Frontier AI Developmentcited by 10
  10. 2024Trust AI Regulation? Discerning users are vital to build trust and effective AI regulationcited by 9
  11. 2023International Governance of Civilian AI: A Jurisdictional Certification Approachcited by 8
  12. 2023An International Consortium for Evaluations of Societal-Scale Risks from Advanced AIcited by 5
9 more
  1. 2021A Decentralized Approach towards Responsible AI in Social Ecosystemscited by 3
  2. 2023Unravelling Responsibility for AIcited by 3
  3. 2023Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safetycited by 2
  4. 2024Quantifying detection rates for dangerous capabilities: a theoretical model of dangerous capability evaluationscited by 1
  5. 2026Solipsistic Superintelligence is Unlikely to be Cooperativecited by 1
  6. 2021Safe Transformative AI via a Windfall Clausecited by 0
  7. 2025Collaboration and Conflict between Humans and Language Models through the Lens of Game Theorycited by 0
  8. 2026Falling Behind Drives Unsafe Development in an Idealised AI Race Experimentcited by 0
  9. 2026Humans Are More Diverse: Frontier LLMs Show Extreme Policies in Idealised AI Development Racescited by 0