AI Governance Needs Sociotechnical Expertise

A new policy brief from Data & Society makes the case for bringing humanities and social science expertise into government approaches to AI governance:

Successful AI governance requires expertise in the sociotechnical nature of AI systems. Because real-world uses of AI are always embedded within larger social institutions and power dynamics, technical assessments alone are insufficient to govern AI. Technical design, social practices and cultural norms, the context a system is integrated in, and who designed and operates it all impact the performance, failure, benefits, and harms of an AI system