Decomposing Autonomy: Explaining AI Technology Acceptance Through a Liberty-Based Framework

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Authors: Dinara Talypova, Ana Vesić, Ambika Shahu, Helena Anna Frijns, Philipp Wintersberger
Cited by: 5
References: 82

Abstract

Human autonomy is a core concept that helps explain the acceptance of and interaction with computer systems and AI technology. However, autonomy is often vaguely defined and conflated with related constructs. This paper disentangles autonomy by integrating the dualistic nature of positive and negative liberty from the perspective of political philosophy. Using an online vignette study with N=194 participants, we show that positive and negative liberty act as correlated but distinct dimensions of the autonomy foundation. While negative liberty predicts the sense of agency, positive liberty is a key dimension for people’s willingness to use technology. We argue that this dualistic stand - positive liberty as the freedom to pursue authentic goals, and negative liberty as the freedom from external constraints - offers a valuable and actionable perspective on human autonomy that can inform future system design and better answer the ambivalent question “how much autonomy is enough”?

Fields of Study & Subjects

Ethics and Social Impacts of AI AI in Service Interactions Neuroethics Human Enhancement Biomedical Innovations

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–17
Publication date
13 April 2026