Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability

2026-04-17

AI Summary

This study addresses the performative accountability mechanisms prevalent in contemporary AI governance, which often deploy “bait” discourses that simulate critique while obscuring and reinforcing underlying political-economic power structures and logics of resource extraction. The work innovatively identifies and systematically analyzes five distinct types of such rhetorical “baits,” demonstrating how they divert attention from the material foundations of AI systems and entrenched structural inequities. Drawing on an interdisciplinary theoretical framework integrating communication studies, science and technology studies (STS), and economic sociology, the paper moves beyond superficial accountability to interrogate the political economy at the core of artificial intelligence. In doing so, it offers a critical pathway and theoretical grounding for envisioning and enacting genuinely just techno-social arrangements.

Technology Category

• Philosophy and Ethics of AI: Bias, Fairness & Equity
• Game Theory and Economic Paradigms: Mechanism Design
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy

Application Category

• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Responsible Web: Algorithmic accountability and transparency on the web
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems

Abstract

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.

Problem

• political economy
• accountability
• AI decoys
• power networks
• sociotechnical systems

Innovation

• political economy of AI
• decoys
• accountability
• power networks
• sociotechnical critique