Barriers to Regulating AI: Critical Observations from a Fractured Field

Ashlin Lee; Will Orr; Walter G. Johnson; Jenna Imad Harb; Kathryn Henne

Barriers to Regulating AI: Critical Observations from a Fractured Field

Ashlin Lee^*, Will Orr, Walter G. Johnson, Jenna Imad Harb, Kathryn Henne

^*Corresponding author for this work

School of Sociology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Drawing on insights from critical infrastructure studies, critical data studies, and regulatory governance, we outline the implications of fragmentation and fracturing in the context of AI regulation. Instead of critiquing the state of AI as evidence of failure, we see these breakages as valuable leverage points. In some, though not all, instances, there is value in maintaining fractures to pursue more just technological outcomes. We highlight how fractures can add value by looking at the challenges of AI regulation through the lens of breakage and repair, which Jackson (2014) describes as the work required for systems to operate over time through moments of disruption.

Original language	English
Title of host publication	Handbook of Critical Studies of Artificial Intelligence
Publisher	Edward Elgar Publishing Ltd.
Pages	413-423
Number of pages	11
ISBN (Electronic)	9781803928562
ISBN (Print)	9781803928555
Publication status	Published - 14 Nov 2023

Cite this

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Barriers to Regulating AI: Critical Observations from a Fractured Field

Abstract

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