Power, Process, and Automated Decision-Making

Ari Ezra Waldman

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Ethics and Social Impacts of AI Digitalization, Law, and Regulation Artificial Intelligence in Law

Abstract

Automated decision-making systems based on “big data”–powered algorithms and machine learning are just as prone to mistakes, biases, and arbitrariness as their human counterparts. The result is a technologically driven decision-making process that seems to defy interrogation, analysis, and accountability and, therefore, undermines due process.

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2020Predict and Surveil 2021Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions 2023Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy 2022Dynamics of Social Harms in an Algorithmic Context 2023The questionable necessity of a new human right against being subject to automated decision-making 2023Legal certainty in automated decision-making in welfare services 2024The Power of Absence: Thinking with Archival Theory in Algorithmic Design 2023Artificial Intelligence and Human Rights

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