The Role of Cooperation in Responsible AI Development
Amanda Askell, Miles Brundage, Gillian Hadfield

TL;DR
This paper discusses how competitive pressures hinder responsible AI development and proposes strategies to foster industry cooperation to address collective action problems for safer, more socially beneficial AI systems.
Contribution
It identifies key factors that enhance cooperation prospects and suggests strategies to promote responsible AI development through industry collaboration.
Findings
Competitive pressures can undermine AI safety investments.
Key factors influence cooperation success in AI industry.
Proposed strategies aim to improve collective responsibility.
Abstract
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.
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Taxonomy
TopicsInnovation, Sustainability, Human-Machine Systems · Open Source Software Innovations · Experimental Behavioral Economics Studies
