14L to Err Is (Not) Human: Examining Beliefs About Errors Made By Artificial Intelligence
Prior research finds that consumers are reluctant to rely on artificial intelligence (AI) to make decisions. This research proposes a lay-theory account to explain this aversion. Two studies show that consumers think AI lacks the ability to distinguish different types of errors, and this belief prevents them from adopting AI.
Citation:
May Xinyu Yuan, Noah VanBergen, Bryan Buechner, Daniel M Grossman, and Caglar Irmak (2019) ,"14L to Err Is (Not) Human: Examining Beliefs About Errors Made By Artificial Intelligence", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 1002-1002.
Authors
May Xinyu Yuan, University of Miami, USA
Noah VanBergen, University of Cincinnati, USA
Bryan Buechner, University of Cincinnati, USA
Daniel M Grossman, University of Cincinnati, USA
Caglar Irmak, University of Miami, USA
Volume
NA - Advances in Consumer Research Volume 47 | 2019
Share Proceeding
Featured papers
See MoreFeatured
The Production and Consumption of Retro Brands Beyond Meaning Revival
Benjamin Julien Hartmann, University of Gothenburg
Katja H. Brunk, EuEuropean University Viadrina
Markus Giesler, York University, Canada
Featured
L9. To Save Face or Follow My Heart: Salesperson’s Inquiries of In-Group Identity on Consumers’ Purchase
Lingru Wei, Tencent Holdings Limited
Jooyoung Park, Peking University
Featured
Does It Pay to Be Virtuous? Examining Whether and Why Firms Benefit From Their CSR Initiatives
Dionne A Nickerson, Georgia Tech, USA
Michael Lowe, Georgia Tech, USA
Adithya Pattabhiramaiah, Georgia Tech, USA