Algorithmic Accountability

Author: Hetan Shah

Publisher: National Library of Medicine

Publication Year: 2017

Summary: The following article reviews ways in which researchers can improve trustworthiness. The authors argue that transparency alone cannot lead to accountability. Additionally, legislation for equitable machine learning algorithms may be useless because of the rise of social media networks collecting data. Certain countries are guilty of “digital totalitarianism” because of the way they collect data on their citizens and utilize this information for access to loans, jobs, and insurance.