It’s the AI’s fault, not mine: Mind perception increases blame attribution to AI

Can artificial intelligences (AIs) be held accountable for moral transgressions? Current research examines how attributing human mind to AI influences the blame assignment to both the AI and the humans involved in real-world moral transgressions. We hypothesized that perceiving AI as having a human mind-like qualities would increase moral blame directed towards AI while decreasing blame attribution to human agents involved. Through three empirical studies-utilizing correlational methods with real-life inspired scenarios in Study 1 and employing experimental manipulations in Studies 2 and 3-our findings demonstrate that perceiving mind in AI increases the likelihood of blaming AIs for moral transgressions. We also explore whether it also diminishes the perceived culpability of human stakeholders, particularly the involved company. Our findings highlight the significance of AI mind perception as a key determinant in increasing blame attribution towards AI in instances of moral transgressions. Additionally, our research sheds light on the phenomenon of moral scapegoating, cautioning against the potential misuse of AI as a scapegoat for moral transgressions. These results emphasize the imperative of further investigating blame attribution assigned to AI entities.

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Publication Details

Journal
PLoS ONE
Published
2024-12-18
DOI
https://doi.org/10.1371/journal.pone.0314559
Citations
9
Primary Topic
Psychology of Moral and Emotional Judgment
Type
article
Field-Weighted Citation Impact
3.08

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article

It’s the AI’s fault, not mine: Mind perception increases blame attribution to AI

Minjoo Joo
9 citations
PLoS ONE
Psychology of Moral and Emotional Judgment
3.08
article

It’s the AI’s fault, not mine: Mind perception increases blame attribution to AI

Minjoo Joo
article en
9 citations

Abstract

Can artificial intelligences (AIs) be held accountable for moral transgressions? Current research examines how attributing human mind to AI influences the blame assignment to both the AI and the humans involved in real-world moral transgressions. We hypothesized that perceiving AI as having a human mind-like qualities would increase moral blame directed towards AI while decreasing blame attribution to human agents involved. Through three empirical studies-utilizing correlational methods with real-life inspired scenarios in Study 1 and employing experimental manipulations in Studies 2 and 3-our findings demonstrate that perceiving mind in AI increases the likelihood of blaming AIs for moral transgressions. We also explore whether it also diminishes the perceived culpability of human stakeholders, particularly the involved company. Our findings highlight the significance of AI mind perception as a key determinant in increasing blame attribution towards AI in instances of moral transgressions. Additionally, our research sheds light on the phenomenon of moral scapegoating, cautioning against the potential misuse of AI as a scapegoat for moral transgressions. These results emphasize the imperative of further investigating blame attribution assigned to AI entities.

PLoS ONEVol. 19(12)
Sookmyung Women's University (KR)
Sookmyung Women's University
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Psychology of Moral and Emotional Judgment
3.08
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It’s the AI’s fault, not mine: Mind perception increases blame attribution to AI — Minjoo Joo · PLoS ONE (2024) | TGRS Research Map | TGRS