Fighting the real AI danger: how to design virtuous AI for virtuous decision-making

  • Artificial Intelligence, i.e., complex algorithms that learn to perform functions associated with human minds, such as perceiving, decision-making, and demonstrating creativity. Indeed, more often than not, AI is trained on biased datasets, that is, this data is disproportionately weighted in favor of or against certain individuals or groups of individuals. The roots for such biases are very diverse, sometimes they are technical in nature, but often they originate in the minds of people, making it difficult to identify these biases, e.g. if such a disproportionate weighting is perceived as ‘normal’ by many, while it is still devastating to few. We argue that the use of virtue ethics in AI can help to mitigate the consequences of biases and to help identify such biases. In particular, we aim to assess in multiple online and field experiments how the virtue ‘transparency’ affects an individual’s decision-making and perceptions regarding the AI.

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Author:Adeline FrenzelORCiDGND, Shilpi Jain, Shizhen (Jasper) Jia, Maximilian von WelckGND, Nishtha Langer
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Parent Title (English):ICIS 2020 Proceedings – Making Digital Inclusive: Blending the Local and the Global, December 13-16, 2020, Hyderabad, India
Editor:Souren Paul, Rahul De', Elena Karahanna, Suprateek Sarker, Gal Oestreicher-Singer
Type:Conference Proceeding
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2021/02/05
First Page:2
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Information Systems und Management
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):Deutsches Urheberrecht