1. Artificial Intelligence, Ethics, and Diffused Pivotality
- Author
-
Klockmann, Victor, von Schenk, Alicia, Villeval, Marie-Claire, Goethe-University Frankfurt am Main, Max Planck Institute for Human Development, Max-Planck-Gesellschaft, Groupe d'analyse et de théorie économique (GATE Lyon Saint-Étienne), Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-École normale supérieure - Lyon (ENS Lyon), Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics (IZA), Dao, Taï, Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne (GATE Lyon Saint-Étienne), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Big Data ,History ,JEL: D - Microeconomics/D.D1 - Household Behavior and Family Economics/D.D1.D10 - General ,Polymers and Plastics ,jel:D63 ,jel:D64 ,jel:C49 ,Industrial and Manufacturing Engineering ,Pivotality ,Experiment ,Artificial Intelligence ,JEL: O - Economic Development, Innovation, Technological Change, and Growth/O.O3 - Innovation • Research and Development • Technological Change • Intellectual Property Rights/O.O3.O33 - Technological Change: Choices and Consequences • Diffusion Processes ,C91 ,0502 economics and business ,ddc:330 ,JEL: C - Mathematical and Quantitative Methods/C.C9 - Design of Experiments/C.C9.C91 - Laboratory, Individual Behavior ,JEL: D - Microeconomics/D.D6 - Welfare Economics/D.D6.D64 - Altruism • Philanthropy ,050207 economics ,Business and International Management ,[SHS.ECO] Humanities and Social Sciences/Economics and Finance ,D10 ,Ethics ,O33 ,050208 finance ,jel:C91 ,05 social sciences ,jel:D10 ,[SHS.ECO]Humanities and Social Sciences/Economics and Finance ,JEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special Topics/C.C4.C49 - Other ,jel:O33 ,JEL: D - Microeconomics/D.D6 - Welfare Economics/D.D6.D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ,Externalities ,C49 ,D63 ,D64 - Abstract
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.
- Published
- 2021