Ten Insights from Other Domains That Inform Responsible AI Frameworks

Abstract

As AI rapidly evolves, so too do the guidelines, principles, best practices, standards, and regulations that seek to ensure the responsible development and use of AI systems. This article outlines ten insights from other domains that responsible AI frameworks can draw upon. We highlight the importance of using well-established international human rights standards and emphasize the value of tailoring risk assessment methodologies to suit the AI context, deploying system-wide strategies, and undertaking meaningful and effective stakeholder engagement, amongst other durable learnings. Through a mix of continuity and adaptation of frameworks in other domains—and knowing how and when to deploy each—we chart a more practical, policy-based path that supports the responsible design, development, deployment, and use of AI systems.