Algorithmic Autonomy in Data-Driven AI

In societies increasingly entangled with algorithms, our choices are constantly influenced and shaped by automated systems. This convergence highlights significant concerns for individual autonomy in the age of data-driven AI. It leads to pressing issues such as data-driven segregation, gaps in accountability for algorithmic decisions, and the infringement on essential human rights and values. Through this article, we introduce and explore the concept of algorithmic autonomy, examining what it means for individuals to have autonomy in the face of the pervasive impact of algorithms on our societies. We begin by outlining the data-driven characteristics of AI and its role in diminishing personal autonomy. We then explore the notion of algorithmic autonomy, drawing on existing research. Finally, we address important considerations, highlighting current challenges and directions for future research.

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Publication Details

Journal
Communications of the ACM
Published
2026-02-03
DOI
https://doi.org/10.1145/3765704
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Algorithmic Autonomy in Data-Driven AI

Roy D. Pea, Ge Wang
Communications of the ACM
Ethics and Social Impacts of AI
article

Algorithmic Autonomy in Data-Driven AI

Roy D. Pea, Ge Wang
article en

Abstract

In societies increasingly entangled with algorithms, our choices are constantly influenced and shaped by automated systems. This convergence highlights significant concerns for individual autonomy in the age of data-driven AI. It leads to pressing issues such as data-driven segregation, gaps in accountability for algorithmic decisions, and the infringement on essential human rights and values. Through this article, we introduce and explore the concept of algorithmic autonomy, examining what it means for individuals to have autonomy in the face of the pervasive impact of algorithms on our societies. We begin by outlining the data-driven characteristics of AI and its role in diminishing personal autonomy. We then explore the notion of algorithmic autonomy, drawing on existing research. Finally, we address important considerations, highlighting current challenges and directions for future research.

Communications of the ACMVol. 69(3)
University of Illinois Urbana-Champaign (US), Stanford University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 70%
Ethics and Social Impacts of AI
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