AI, Opacity, and Personal Autonomy

Philosophy and Technology 35 (4):1-20 (2022)
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Abstract

Advancements in machine learning have fuelled the popularity of using AI decision algorithms in procedures such as bail hearings, medical diagnoses and recruitment. Academic articles, policy texts, and popularizing books alike warn that such algorithms tend to be opaque: they do not provide explanations for their outcomes. Building on a causal account of transparency and opacity as well as recent work on the value of causal explanation, I formulate a moral concern for opaque algorithms that is yet to receive a systematic treatment in the literature: when such algorithms are used in life-changing decisions, they can obstruct us from effectively shaping our lives according to our goals and preferences, thus undermining our autonomy. I argue that this concern deserves closer attention as it furnishes the call for transparency in algorithmic decision-making with both new tools and new challenges.

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Bram Vaassen
Umeå University

References found in this work

After virtue: a study in moral theory.Alasdair C. MacIntyre - 1981 - Notre Dame, Ind.: University of Notre Dame Press.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Real patterns.Daniel C. Dennett - 1991 - Journal of Philosophy 88 (1):27-51.
The Morality of Freedom.Joseph Raz - 1986 - Philosophy 63 (243):119-122.

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