TY  - UNPD
A1  - Klockmann, Victor
A1  - Schenk, Alicia von
A1  - Villeval, Marie-Claire
T1  - Artificial intelligence, ethics, and diffused pivotality
T2  - SAFE working paper ; No. 336
N2  - 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.
T3  - SAFE working paper - 336 
KW  - Artificial Intelligence
KW  - Big Data
KW  - Pivotality
KW  - Ethics
KW  - Experiment
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/64016
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-640162
UR  - https://ssrn.com/abstract=4003065
N1  - 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.
IS  - December 21, 2021
PB  - SAFE
CY  - Frankfurt am Main
ER  -