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Contribution Details

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
  • Suzanne Tolmeijer
  • Markus Christen
  • Serhiy Kandul
  • Markus Kneer
  • Abraham Bernstein
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
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
Digital Object Identifier 10.1145/3491102.3517732
Other Identification Number merlin-id:22358
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