Debunking (the) Retribution (Gap)

Science and Engineering Ethics 26 (3):1315-1328 (2020)
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Abstract

Robotization is an increasingly pervasive feature of our lives. Robots with high degrees of autonomy may cause harm, yet in sufciently complex systems neither the robots nor the human developers may be candidates for moral blame. John Danaher has recently argued that this may lead to a retribution gap, where the human desire for retribution faces a lack of appropriate subjects for retributive blame. The potential social and moral implications of a retribution gap are considerable. I argue that the retributive intuitions that feed into retribution gaps are best understood as deontological intuitions. I apply a debunking argument for deontological intuitions in order to show that retributive intuitions cannot be used to justify retributive punishment in cases of robot harm without clear candidates for blame. The fundamental moral question thus becomes what we ought to do with these retributive intuitions, given that they do not justify retribution. I draw a parallel from recent work on implicit biases to make a case for taking moral responsibility for retributive intuitions. In the same way that we can exert some form of control over our unwanted implicit biases, we can and should do so for unjustifed retributive intuitions in cases of robot harm.

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Citations of this work

Artificial intelligence and responsibility gaps: what is the problem?Peter Königs - 2022 - Ethics and Information Technology 24 (3):1-11.
There Is No Techno-Responsibility Gap.Daniel W. Tigard - 2021 - Philosophy and Technology 34 (3):589-607.
Tragic Choices and the Virtue of Techno-Responsibility Gaps.John Danaher - 2022 - Philosophy and Technology 35 (2):1-26.
A way forward for responsibility in the age of AI.Dane Leigh Gogoshin - 2025 - Inquiry: An Interdisciplinary Journal of Philosophy 68 (4):1164-1197.

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Ethics and Intuitions.Peter Singer - 2005 - The Journal of Ethics 9 (3-4):331-352.
Robots, Law and the Retribution Gap.John Danaher - 2016 - Ethics and Information Technology 18 (4):299–309.
Killer robots.Robert Sparrow - 2007 - Journal of Applied Philosophy 24 (1):62–77.

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