Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
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Abstract (arXiv)
Algorithms are unavoidable in our social lives, yet often perpetuate social injustices. The popular means of addressing this is through algorithmic reformism: fine-tuning algorithms themselves to be more fair, accountable, and transparent. However, reformism fails to curtail algorithmic injustice because it ignores the power structure surrounding algorithms. Heeding calls from critical algorithm studies, I employ a framework developed by Erik Olin Wright to examine the configuration of power surrounding algorithmic systems in society (Algorithmic Activity). Algorithmic Activity is unjust because it is dominated by economic power. To create socially just Algorithmic Activity, the power configuration must instead empower end users. I explore Wright's symbiotic, interstitial, and raptural transformations in the context of just Algorithmic Activity. My vision for social justice in algorithmic systems requires a continuous (re)evaluation of how power can be transformed in light of current structure, social theories, evolving methodologies, and one's relationship to power itself.
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References · 13
- 2021Carbon Emissions and Large Neural Network Trainingcited by 561
- 2021Persistent Anti-Muslim Bias in Large Language Modelscited by 376
- 2022Power to the People? Opportunities and Challenges for Participatory AIcited by 137
- 2020Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligencecited by 100
- 2023Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Modelscited by 44
- 2022American == White in Multimodal Language-and-Image AIcited by 39
- 2020The Grey Hoodie Project: Big Tobacco, Big Tech, and the threat on academic integritycited by 38
- 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 29
- 2021Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studiescited by 22
- 2021Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Developmentcited by 21
- 2022Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendationscited by 20
- 2022Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophycited by 15
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