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Antitrust law

Antitrust is particularly relevant to the AI governance of artificial intelligence, as it may in some cases constrain safety cooperation between competitors.

AI governance of artificial intelligence | law | policy | Windfall Clause

Antitrust law (often called "competition law"competition law outside the US) is the body of law intended to prevent monopolization and cartelization of commercial markets. 

Brundage, Miles, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Kreuger et al. (2020) Toward trustworthy AI development: Mechanisms for supporting verifiable claims, arXiv:2004.07213.
Appendix V on p. 70 discusses antitrust as a potential concern for AI safety collaborations between competitors.

O'Keefe, Cullen (2020) How Will National Security Considerations Affect Antitrust Decisionswill national security considerations affect antitrust decisions in AI? An Examinationexamination of Historical Precedentshistorical precedents,Future of Humanity Institute, University of Oxford.

O'Keefe, Cullen (2021) Antitrust-Compliantcompliant AI Industry Self-Regulationindustry self-regulation, SSRN Electronic Journal, Legal Priorities Project working paper no. 6. 

Brundage, Miles Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Kreuger et al. (2020), Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.
Appendix V on p. 70 discusses antitrust as a potential concern for AI safety collaborations between competitors.

Cullen 🔸20

NB: The formatting of the Brundage article is intentional as the first five authors had equal contributions.

Reply

Brundage, Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Kreuger et al. (2020), Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.
Appendix V on p. 70 discusses antitrust as a potential concern for AI safety collaborations between competitors.

O'Keefe, Cullen (2020) How Will National Security Considerations Affect Antitrust Decisions in AI? An Examination of Historical Precedents,Future of Humanity Institute, University of Oxford.

O'Keefe, Cullen (2021) Antitrust-Compliant AI Industry Self-Regulation, Legal Priorities Project working paper no. 6. 

Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Kreuger et al. (2020), Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.
Appendix V on p. 70 discusses antitrust as a potential concern for AI safety collaborations between competitors.

Antitrust law (often called "competition law" outside the US) is the body of law intended to prevent monopolization and cartelization of commercial markets. Antitrust is particularly relevant to the governance of artificial intelligence, as it may in some cases constrain safety cooperation between competitors.

Antitrust law (often called "competition law" outside the US) is the body of law intended to prevent monopolization and cartelization of commercial markets. Antitrust is relevant to the [governancegovernance of artificial intelligence](https://forum.effectivealtruism.org/topics/ai-governance)intelligence, as it may in some cases constrain safety cooperation between competitors.

Antitrust law (often called "competition law" outside the US) is legislationthe body of law intended to restrain trusts, monopolies, or other large combinationsprevent monopolization and cartelization of business and capital.commercial markets. Antitrust is relevant to the [governance of artificial intelligence](https://forum.effectivealtruism.org/topics/ai-governance), as it may in some cases constrain safety cooperation between competitors.

Antitrust law is legislation intended to restrain trusts, monopolies, or other large combinations of business and capital.

Fischer, Sophie-Charlotte et al. (2021) AI policy levers: A review of the U.S. government’s tools to shape AI research, development, and deployment, Future of Humanity Institute, University of Oxford.
The section on pp. 41–44 discusses antitrust enforcement as a means of influencing AI research, development and deployment.

Hua, Shin-Shin & Haydn Belfield (2021) AI & Antitrust:antitrust: Reconciling Tensions Between Competitiontensions between competition law and cooperative AI development, Yale Journal of Law and Cooperative AI Development& Technology, vol. 23, pp. 415–550.