Artificial intelligence, ethics, and diffused pivotality

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: SAFE Working Paper ; No. 336

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Econometric and Statistical Methods: Special Topics: Other ; Design of Experiments: Laboratory, Individual ; Household Behavior: General ; Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; Altruism; Philanthropy; Intergenerational Transfers ; Technological Change: Choices and Consequences; Diffusion Processes
• Thema: Artificial Intelligence ; Big Data ; Pivotality ; Ethics ; Experiment

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Klockmann, Victor ; von Schenk, Alicia ; Villeval, Marie-Claire
• Ereignis: Veröffentlichung
• (wer): Leibniz Institute for Financial Research SAFE
• (wo): Frankfurt a. M.
• (wann): 2022

Weitere Informationen

• DOI: doi:10.2139/ssrn.4003065
• Handle: http://hdl.handle.net/10419/249179
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ