Can critical policy studies outsmart AI?
Regine Paul proposes new research agenda to tackle techno-solutionist hypes in public policy
The inclusion of artificial intelligence (AI) technologies in public policy and administration raises high-flying hopes for more accurate, speedy and targeted decisions, but also deep concerns over their detrimental affects on democratic values, societal equity, and global environmental justice.
In her new journal article, Regine Paul, Professor at the Department of Government and Editor of Critical Policy Studies, proposes a research agenda for critical policy studies to deconstruct, contextualise, and critique AI in public policy in more systematic ways. This, she argues, is a crucial step for re-politicizing techno-solutionist hypes around public sector AI tech and, instead, engage in societal dialogue about just where and how technology can (and cannot) advance democratic, and globally sustainable, governance. Read the piece open access here.