TY - GEN
T1 - Reckoning with the Political Economy of AI
T2 - 9th Annual ACM Conference on Fairness, Accountability, and Transparency, ACM FAccT 2026
AU - Vertesi, Janet
AU - Boyd, Danah
AU - Taylor, Alex S.
AU - Shestakofsky, Benjamin
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/6/25
Y1 - 2026/6/25
N2 - The Project of AI is a world-building endeavor, wherein those who fund and develop AI systems both operate through and seek to sustain networks of power and wealth. As they expand their access to resources and configure our sociotechnical conditions, they benefit from the ways in which a suite of decoys animate scholars, critics, policymakers, journalists, and the public into co-constructing industry-empowering AI futures. Regardless of who constructs or nurtures them, these decoys often create the illusion of accountability while both masking the emerging political economies that the Project of AI has set into motion, and also contributing to the network-making power that is at the heart of the Project's extraction and exploitation. Drawing on literature at the intersection of communication, science and technology studies, and economic sociology, we examine how the Project of AI is constructed. We then explore five decoys that seemingly critique - but in actuality co-constitute - AI's emergent power relations and material political economy. We argue that advancing meaningful fairness or accountability in AI requires: 1) recognizing when and how decoys serve as a distraction, and 2) grappling directly with the material political economy of the Project of AI. Doing so will enable us to attend to the networks of power that make "AI"possible, spurring new visions for how to realize a more just technologically entangled world.
AB - The Project of AI is a world-building endeavor, wherein those who fund and develop AI systems both operate through and seek to sustain networks of power and wealth. As they expand their access to resources and configure our sociotechnical conditions, they benefit from the ways in which a suite of decoys animate scholars, critics, policymakers, journalists, and the public into co-constructing industry-empowering AI futures. Regardless of who constructs or nurtures them, these decoys often create the illusion of accountability while both masking the emerging political economies that the Project of AI has set into motion, and also contributing to the network-making power that is at the heart of the Project's extraction and exploitation. Drawing on literature at the intersection of communication, science and technology studies, and economic sociology, we examine how the Project of AI is constructed. We then explore five decoys that seemingly critique - but in actuality co-constitute - AI's emergent power relations and material political economy. We argue that advancing meaningful fairness or accountability in AI requires: 1) recognizing when and how decoys serve as a distraction, and 2) grappling directly with the material political economy of the Project of AI. Doing so will enable us to attend to the networks of power that make "AI"possible, spurring new visions for how to realize a more just technologically entangled world.
KW - AI
KW - economic sociology
KW - inevitability
KW - infrastructure
KW - network power
KW - political economy
UR - https://www.scopus.com/pages/publications/105044399001
UR - https://www.scopus.com/pages/publications/105044399001#tab=citedBy
U2 - 10.1145/3805689.3806739
DO - 10.1145/3805689.3806739
M3 - Conference contribution
AN - SCOPUS:105044399001
T3 - ACM FAccT 2026 - Proceedings of the 9th annual ACM Conference on Fairness, Accountability, and Transparency
SP - 2186
EP - 2205
BT - ACM FAccT 2026 - Proceedings of the 9th annual ACM Conference on Fairness, Accountability, and Transparency
PB - Association for Computing Machinery, Inc
Y2 - 25 June 2026 through 28 June 2026
ER -