Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach. (December 2022)
- Record Type:
- Journal Article
- Title:
- Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach. (December 2022)
- Main Title:
- Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach
- Authors:
- Textor, Claire
Zhang, Rui
Lopez, Jeremy
Schelble, Beau G.
McNeese, Nathan J.
Freeman, Guo
Pak, Richard
Tossell, Chad
de Visser, Ewart J. - Abstract:
- Advancements and implementations of autonomous systems coincide with an increased concern for the ethical implications resulting from their use. This is increasingly relevant as autonomy fulfills teammate roles in contexts that demand ethical considerations. As AI teammates (ATs) enter these roles, research is needed to explore how an AT's ethics influences human trust. This current research presents two studies which explore how an AT's ethical or unethical behavior impacts trust in that teammate. In Study 1, participants responded to scenarios of an AT recommending actions which violated or abided by a set of ethical principles. The results suggest that ethicality perceptions and trust are influenced by ethical violations, but only ethicality depends on the type of ethical violation. Participants in Study 2 completed a focus group interview after performing a team task with a simulated AT that committed ethical violations and attempted to repair trust (apology or denial). The focus group responses suggest that ethical violations worsened perceptions of the AT and decreased trust, but it could still be trusted to perform tasks. The AT's apologies and denials did not repair damaged trust. The studies' findings suggest a nuanced relationship between trust and ethics and a need for further investigation into trust repair strategies following ethical violations.
- Is Part Of:
- Journal of cognitive engineering and decision making. Volume 16:Number 4(2022)
- Journal:
- Journal of cognitive engineering and decision making
- Issue:
- Volume 16:Number 4(2022)
- Issue Display:
- Volume 16, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 16
- Issue:
- 4
- Issue Sort Value:
- 2022-0016-0004-0000
- Page Start:
- 252
- Page End:
- 281
- Publication Date:
- 2022-12
- Subjects:
- ethical artificial intelligence -- human–artificial intelligence teaming -- trust repair -- trust
Human-computer interaction -- Periodicals
User-centered system design -- Periodicals
004.019 - Journal URLs:
- http://edm.sagepub.com/ ↗
http://www.ingentaconnect.com/content/hfes/cogeng ↗
http://www.sagepublications.com/ ↗ - DOI:
- 10.1177/15553434221113964 ↗
- Languages:
- English
- ISSNs:
- 1555-3434
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23084.xml