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Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms

Year: 2022

Type: article

Abstract: Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about their algorithms causing major financial or reputational damage. A new industry is envisaged: auditing and assurance of algorithms with the remit to validate artificial intelligence, machine learning, and associated algorithms.

Source: Computer

DOI: 10.1109/mc.2021.3067225

Authors: Adriano Koshiyama, Emre Kazim, Philip Treleaven

Institution: University College London

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funder: Cisco Systems

OpenAlex ID: W4223475929