Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2024-12, Vol.19 (12), p.e0314559
Main Author: Joo, Minjoo
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 12
container_start_page e0314559
container_title PloS one
container_volume 19
creator Joo, Minjoo
description 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.
doi_str_mv 10.1371/journal.pone.0314559
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3146992995</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A820422081</galeid><sourcerecordid>A820422081</sourcerecordid><originalsourceid>FETCH-LOGICAL-g3302-ebb90905d70f440975d17a408704f4d423988c9269a4a38db8103f088e58be303</originalsourceid><addsrcrecordid>eNqNkttu1DAQhiNERUvhDRBYqkSLxC4-JbG5QauKlpWKijjdWk4y2XXl2CF2UHl7zBLQBvUC-cIjzzf_jP5xlj0heElYSV7d-HFw2i5772CJGeF5Lu9lR0QyuigoZvf34sPsYQg3GOdMFMWD7JDJIqUkP8o-rONpQHELaLVOQatHG18i5yPqjIPX6L1xDephqKGPxjtkXD2ADhBQZXUHSMc4mGrc5aJPIo-yg1bbAI-n-zj7cvH28_m7xdX15fp8dbXYMIbpAqpKYonzpsQt51iWeUNKzbEoMW95wymTQtSSFlJzzURTCYJZi4WAXFTAMDvOnv3W7a0PajIjqORDISWVMk_Em4kYqw6aGlwctFX9YDo9_FBeGzXPOLNVG_9dEVLkXAqaFM4mhcF_GyFE1ZlQg7XagR93zUqSbNyNc_IPevdIE7XRFpRxrU-N61-iaiUo5pRiQRK1vINKp4HO1GndrUnvs4IXs4LERLiNGz2GoNafPv4_e_11zj7fY7egbdwGb3fbDnPw6b7Vfz3-88_YTzCOz2g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3146992995</pqid></control><display><type>article</type><title>It's the AI's fault, not mine: Mind perception increases blame attribution to AI</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database</source><source>Coronavirus Research Database</source><creator>Joo, Minjoo</creator><creatorcontrib>Joo, Minjoo</creatorcontrib><description>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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0314559</identifier><identifier>PMID: 39693294</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Analysis ; Anthropomorphism ; Artificial Intelligence ; Biology and Life Sciences ; Computer and Information Sciences ; Decision making ; Female ; Forecasts and trends ; Humans ; Hypotheses ; Intelligence ; Male ; Medicine and Health Sciences ; Morals ; Perception ; Perceptions ; Social Perception ; Social Sciences ; Violations ; Young Adult</subject><ispartof>PloS one, 2024-12, Vol.19 (12), p.e0314559</ispartof><rights>Copyright: © 2024 Minjoo Joo. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Minjoo Joo. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Minjoo Joo 2024 Minjoo Joo</rights><rights>2024 Minjoo Joo. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-2626-1383</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3146992995/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3146992995?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39693294$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Joo, Minjoo</creatorcontrib><title>It's the AI's fault, not mine: Mind perception increases blame attribution to AI</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.</description><subject>Adult</subject><subject>Analysis</subject><subject>Anthropomorphism</subject><subject>Artificial Intelligence</subject><subject>Biology and Life Sciences</subject><subject>Computer and Information Sciences</subject><subject>Decision making</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Intelligence</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Morals</subject><subject>Perception</subject><subject>Perceptions</subject><subject>Social Perception</subject><subject>Social Sciences</subject><subject>Violations</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNqNkttu1DAQhiNERUvhDRBYqkSLxC4-JbG5QauKlpWKijjdWk4y2XXl2CF2UHl7zBLQBvUC-cIjzzf_jP5xlj0heElYSV7d-HFw2i5772CJGeF5Lu9lR0QyuigoZvf34sPsYQg3GOdMFMWD7JDJIqUkP8o-rONpQHELaLVOQatHG18i5yPqjIPX6L1xDephqKGPxjtkXD2ADhBQZXUHSMc4mGrc5aJPIo-yg1bbAI-n-zj7cvH28_m7xdX15fp8dbXYMIbpAqpKYonzpsQt51iWeUNKzbEoMW95wymTQtSSFlJzzURTCYJZi4WAXFTAMDvOnv3W7a0PajIjqORDISWVMk_Em4kYqw6aGlwctFX9YDo9_FBeGzXPOLNVG_9dEVLkXAqaFM4mhcF_GyFE1ZlQg7XagR93zUqSbNyNc_IPevdIE7XRFpRxrU-N61-iaiUo5pRiQRK1vINKp4HO1GndrUnvs4IXs4LERLiNGz2GoNafPv4_e_11zj7fY7egbdwGb3fbDnPw6b7Vfz3-88_YTzCOz2g</recordid><startdate>20241218</startdate><enddate>20241218</enddate><creator>Joo, Minjoo</creator><general>Public Library of Science</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2626-1383</orcidid></search><sort><creationdate>20241218</creationdate><title>It's the AI's fault, not mine: Mind perception increases blame attribution to AI</title><author>Joo, Minjoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g3302-ebb90905d70f440975d17a408704f4d423988c9269a4a38db8103f088e58be303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Anthropomorphism</topic><topic>Artificial Intelligence</topic><topic>Biology and Life Sciences</topic><topic>Computer and Information Sciences</topic><topic>Decision making</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Intelligence</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Morals</topic><topic>Perception</topic><topic>Perceptions</topic><topic>Social Perception</topic><topic>Social Sciences</topic><topic>Violations</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joo, Minjoo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Opposing Viewpoints In Context</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joo, Minjoo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>It's the AI's fault, not mine: Mind perception increases blame attribution to AI</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-12-18</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0314559</spage><pages>e0314559-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39693294</pmid><doi>10.1371/journal.pone.0314559</doi><tpages>e0314559</tpages><orcidid>https://orcid.org/0000-0003-2626-1383</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2024-12, Vol.19 (12), p.e0314559
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_3146992995
source Open Access: PubMed Central; Publicly Available Content Database; Coronavirus Research Database
subjects Adult
Analysis
Anthropomorphism
Artificial Intelligence
Biology and Life Sciences
Computer and Information Sciences
Decision making
Female
Forecasts and trends
Humans
Hypotheses
Intelligence
Male
Medicine and Health Sciences
Morals
Perception
Perceptions
Social Perception
Social Sciences
Violations
Young Adult
title It's the AI's fault, not mine: Mind perception increases blame attribution to AI
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T21%3A42%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=It's%20the%20AI's%20fault,%20not%20mine:%20Mind%20perception%20increases%20blame%20attribution%20to%20AI&rft.jtitle=PloS%20one&rft.au=Joo,%20Minjoo&rft.date=2024-12-18&rft.volume=19&rft.issue=12&rft.spage=e0314559&rft.pages=e0314559-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0314559&rft_dat=%3Cgale_plos_%3EA820422081%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-g3302-ebb90905d70f440975d17a408704f4d423988c9269a4a38db8103f088e58be303%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3146992995&rft_id=info:pmid/39693294&rft_galeid=A820422081&rfr_iscdi=true