Computer / 2022

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

A. Koshiyama, Emre Kazim, P. Treleaven

Computer VisionFoundation ModelsReinforcement Learning

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.

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Title: Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms
Authors: A. Koshiyama, Emre Kazim, P. Treleaven
Year: 2022
Venue: Computer
Categories: Computer Vision, Foundation Models, Reinforcement Learning
Citations: 33
Paper URL: https://www.semanticscholar.org/paper/bb8fceef2d25454b46ff4cb6ffa5c65a82dd5850
Open PDF: https://discovery.ucl.ac.uk/10164738/1/owards%20Algorithm%20Auditing%20A%20Survey%20on%20Managing%20Legal%2C%20Ethical%20and%20Technological%20Risks%20of%20AI%2C%20ML%20and%20Associated%20Algorithms.pdf