Jennifer Raso (McGill U Law) has posted “Interoperable AI Regulation” (Forthcoming in the Canadian Journal of Law and Technology) on SSRN. Here is the abstract:
This article explores “interoperability” as a new goal in AI regulation in Canada and beyond. Drawing on sociotechnical, computer science, and digital government literatures, it traces interoperability’s conceptual genealogy to reveal an underlying politics that prioritizes harmony over discord and consistency over plurality. This politics, the article argues, is in tension with the distinct role of statutory law (as opposed to regulation) in a democratic society. Legislation is not simply a technology through which one achieves the smooth operation of governance. Rather, legislation is better understood as a “boundary object”: an information system through which members of different communities make sense of, and communicate about, complex phenomena. This sense-making includes and even requires disagreement, the managing and resolution of which is a vital function of both law and indeed of any information system.