Artificial intelligence, ethics, and diffused pivotality
- With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for the moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the sources of training data and thus the impact of each individual’s decisions on the algorithm. Diffusing such individual pivotality for algorithmic choices increased the share of selfish decisions and weakened revealed prosocial preferences. This does not result from a change in the structure of incentives. Rather, our results show that Big Data offers an excuse for selfish behavior through lower responsibility for one’s and others’ fate.
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| Author: | Victor Klockmann, Alicia von Schenk, Marie-Claire Villeval |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-640162 |
| URL: | https://ssrn.com/abstract=4003065 |
| DOI: | https://doi.org/10.2139/ssrn.4003065 |
| Parent Title (English): | SAFE working paper ; No. 336 |
| Series (Serial Number): | SAFE working paper (336) |
| Publisher: | SAFE |
| Place of publication: | Frankfurt am Main |
| Document Type: | Working Paper |
| Language: | English |
| Year of Completion: | 2021 |
| Year of first Publication: | 2022 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2022/01/25 |
| Tag: | Artificial Intelligence; Big Data; Ethics; Experiment; Pivotality |
| Issue: | December 21, 2021 |
| Page Number: | 47 |
| Note: | Financial research support from the Leibniz Institute for Financial Research SAFE, the Goethe University Frankfurt, and the LABEX CORTEX (ANR-11-LABX-0042) of Universite de Lyon, within the program Investissements Avenir (ANR-11-IDEX-007) operated by the French National Research Agency (ANR) is gratefully acknowledged. |
| HeBIS-PPN: | 491471416 |
| Institutes: | Wirtschaftswissenschaften / Wirtschaftswissenschaften |
| Wissenschaftliche Zentren und koordinierte Programme / House of Finance (HoF) | |
| Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS) | |
| Wissenschaftliche Zentren und koordinierte Programme / Sustainable Architecture for Finance in Europe (SAFE) | |
| Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| JEL-Classification: | C Mathematical and Quantitative Methods / C4 Econometric and Statistical Methods: Special Topics / C49 Other |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Deutsches Urheberrecht |
