Paper by Regine Paul: “The insertion of artificial intelligence technologies (AITs) and data-driven automation in public policymaking should be a metaphorical wake-up call for critical policy analysts. Both its wide representation as techno-solutionist remedy in otherwise slow, inefficient, and biased public decision-making and its regulation as a matter of rational risk analysis are conceptually flawed and democratically problematic. To ‘outsmart’ AI, this article stimulates the articulation of a critical research agenda on AITs and public policy, outlining three interconnected lines of inquiry for future research: (1) interpretivist disclosure of the norms and values that shape perceptions and uses of AITs in public policy, (2) exploration of AITs in public policy as a contingent practice of complex human-machine interactions, and (3) emancipatory critique of how ‘smart’ governance projects and AIT regulation interact with (global) inequalities and power relations…(More)”.
Can critical policy studies outsmart AI? Research agenda on artificial intelligence technologies and public policy
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
Artificial Intelligence
DATA
The Context Loop: How AI Remembers Us, and Shapes Digital Self-Determination
Posted in May 7, 2026 by Stefaan Verhulst
Civic Technology
Design Thinking
E-Gov
INSTITUTIONAL INNOVATION
Signals from the Frontier of Digital Statecraft: Rethinking governance in the age of AI
Posted in May 7, 2026 by Stefaan Verhulst
DATA
Data Collaboratives
Open Data
Non-Traditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges
Posted in May 7, 2026 by Stefaan Verhulst