Literature DB >> 30107256

People are averse to machines making moral decisions.

Yochanan E Bigman1, Kurt Gray2.   

Abstract

Do people want autonomous machines making moral decisions? Nine studies suggest that that the answer is 'no'-in part because machines lack a complete mind. Studies 1-6 find that people are averse to machines making morally-relevant driving, legal, medical, and military decisions, and that this aversion is mediated by the perception that machines can neither fully think nor feel. Studies 5-6 find that this aversion exists even when moral decisions have positive outcomes. Studies 7-9 briefly investigate three potential routes to increasing the acceptability of machine moral decision-making: limiting the machine to an advisory role (Study 7), increasing machines' perceived experience (Study 8), and increasing machines' perceived expertise (Study 9). Although some of these routes show promise, the aversion to machine moral decision-making is difficult to eliminate. This aversion may prove challenging for the integration of autonomous technology in moral domains including medicine, the law, the military, and self-driving vehicles.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autonomous machines; Mind perception; Moral agency; Morality; Robots; Skynet

Mesh:

Year:  2018        PMID: 30107256     DOI: 10.1016/j.cognition.2018.08.003

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  10 in total

1.  Artificial Intelligence Can't Be Charmed: The Effects of Impartiality on Laypeople's Algorithmic Preferences.

Authors:  Marius C Claudy; Karl Aquino; Maja Graso
Journal:  Front Psychol       Date:  2022-06-29

2.  Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model.

Authors:  Ruchika Jain; Naval Garg; Shikha N Khera
Journal:  Front Psychol       Date:  2022-06-20

3.  Should I Trust the Artificial Intelligence to Recruit? Recruiters' Perceptions and Behavior When Faced With Algorithm-Based Recommendation Systems During Resume Screening.

Authors:  Alain Lacroux; Christelle Martin-Lacroux
Journal:  Front Psychol       Date:  2022-07-06

4.  Robo-investment aversion.

Authors:  Paweł Niszczota; Dániel Kaszás
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

5.  Developing Self-Awareness in Robots via Inner Speech.

Authors:  Antonio Chella; Arianna Pipitone; Alain Morin; Famira Racy
Journal:  Front Robot AI       Date:  2020-02-19

6.  Adapting to the algorithm: how accuracy comparisons promote the use of a decision aid.

Authors:  Garston Liang; Jennifer F Sloane; Christopher Donkin; Ben R Newell
Journal:  Cogn Res Princ Implic       Date:  2022-02-08

7.  Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI.

Authors:  Marilyn Giroux; Jungkeun Kim; Jacob C Lee; Jongwon Park
Journal:  J Bus Ethics       Date:  2022-02-12

8.  Hiding Behind Machines: Artificial Agents May Help to Evade Punishment.

Authors:  Till Feier; Jan Gogoll; Matthias Uhl
Journal:  Sci Eng Ethics       Date:  2022-04-04       Impact factor: 3.777

9.  Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients.

Authors:  Sebastian J Fritsch; Andrea Blankenheim; Alina Wahl; Petra Hetfeld; Oliver Maassen; Saskia Deffge; Julian Kunze; Rolf Rossaint; Morris Riedel; Gernot Marx; Johannes Bickenbach
Journal:  Digit Health       Date:  2022-08-08

Review 10.  Reducing Kidney Discard With Artificial Intelligence Decision Support: the Need for a Transdisciplinary Systems Approach.

Authors:  Richard Threlkeld; Lirim Ashiku; Casey Canfield; Daniel B Shank; Mark A Schnitzler; Krista L Lentine; David A Axelrod; Anil Choudary Reddy Battineni; Henry Randall; Cihan Dagli
Journal:  Curr Transplant Rep       Date:  2021-11-15
  10 in total

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