Erschienen in:Columbia Business School Research Paper
Umfang:
1 Online-Ressource (31 p)
Sprache:
Englisch
DOI:
10.2139/ssrn.3361280
Identifikator:
Entstehung:
Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 14, 2020 erstellt
Beschreibung:
We develop an economic perspective on algorithmic fairness and the surrounding empirical, theoretical and policy issues. Our perspective draws from clear parallels between algorithms and issues in economics of discrimination, crime, personnel and technological innovation; as well as more subtle connections to environmental economics, product safety regulation, behavioral economics and economics of information. We highlight the distinction between biased algorithmic predictions and biased algorithmic objectives. We conclude by discussing economic issues in policy policy and managerial practices around reducing algorithmic unfairness