Highly Accurate, but Still Discriminatory: A Fairness Evaluation of Algorithmic Video Analysis
Highly Accurate, but Still Discriminatory: A Fairness Evaluation of Algorithmic Video Analysis
Alina Köchling,S. Riazy,M. Wehner,Katharina Simbeck
2020 · DOI: 10.5465/ambpp.2020.13339abstract
Academy of Management Proceedings · 25 Citations
TLDR
This research presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive process of manually making decisions about which decisions to make based on a number of criteria.
Abstract
Firms increasingly implement algorithmic decision-making to save costs and increase efficiency. Concerning the latter, algorithmic decision-making is considered to be fairer than human decisions du...