Data Bias and Discrimination Practices in Artificial Intelligence / Chouette Gwendoline

0 review

Data Bias and Discrimination Practices in Artificial Intelligence / Chouette Gwendoline

Study and report

CHOUETTE, Gwendoline. Author

Published by ESCP Business School - 2020

Library: Madrid London Paris Champerret Paris Montparnasse Turin

Source : Syracuse

Item type

Study and report

Dissertation

MSC Marketing & Communication

Language

English

Publication year: 2020

Subjects: ARTIFICIAL INTELLIGENCE - SOCIAL PSYCHOLOGY

Background In the technology industry, corporations have developed Artificial Intelligence (AI) softwares and try to provide the most useful tools to their users. But these tools have shown to be threatening basic human rights at some point. Ethics in AI have been explored in previous research, but it represents just an attempt to provide guidance to manage the potential issues. In that way, previous sWXdies haYe ignored Whe gap beWZeen 3Wr\ing Wo do eWhics and ZhaW people consider as 3eWhical . Purpose The purpose of this paper is to comprehensively understand the role of tech corporations in biased historical data and discriminatory practices while developing future applications of AI. Research Problem How can tech corporations ensure a discrimination-free framework while developing future AI society?