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Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | Yes |
Title | Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making |
Organization Unit | |
Authors |
|
Presentation Type | paper |
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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ISBN | 978-1-4503-9157-3 |
Page Range | 1 - 17 |
Event Title | ACM CHI Conference on Human Factors in Computing Systems (CHI'22) |
Event Type | conference |
Event Location | New Orleans, LA, USA |
Event Start Date | April 29 - 2022 |
Event End Date | May 5 - 2022 |
Place of Publication | New York, NY, USA |
Publisher | ACM Press |
Abstract Text | While artificial intelligence (AI) is increasingly applied for decision- making processes, ethical decisions pose challenges for AI applica- tions. Given that humans cannot always agree on the right thing to do, how would ethical decision-making by AI systems be perceived and how would responsibility be ascribed in human-AI collabora- tion? In this study, we investigate how the expert type (human vs. AI) and level of expert autonomy (adviser vs. decider) influence trust, perceived responsibility, and reliance. We find that partici- pants consider humans to be more morally trustworthy but less capable than their AI equivalent. This shows in participants’ re- liance on AI: AI recommendations and decisions are accepted more often than the human expert’s. However, AI team experts are per- ceived to be less responsible than humans, while programmers and sellers of AI systems are deemed partially responsible instead. |
Official URL | https://doi.org/10.1145/3491102.3517732 |
Digital Object Identifier | 10.1145/3491102.3517732 |
Other Identification Number | merlin-id:22358 |
PDF File | Download from ZORA |
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