Why responsible AI development needs cooperation on safety
OpenAI Blog
Researchers identified four strategies—risk communication, technical collaboration, transparency, and standards incentives—to encourage AI companies to cooperate on safety norms. Competitive pressure creates a collective action problem where firms may under-invest in safety relative to what would be optimal for the industry overall. The paper proposes these approaches as a way to align individual company incentives with broader safety goals.
Why it matters
We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry cooperation on safety norms in AI: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Our analysis shows that industry cooperation on safety will be instrumental in ensuring that AI systems are safe and beneficial, but competitive pressures could lead to a collective action problem, potentially causing AI companies to under-invest in safety. We hope these strategies will encourage greater cooperation on the safe development of AI and lead to better global outcomes of AI.
