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The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?
Minds and Machines 32 (4):751-758 (2022)
Abstract
On the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can both inform and learn from the European Artificial Intelligence Act (EU AIA).Author Profiles
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Citations of this work
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems.Jakob Mökander, Margi Sheth, David S. Watson & Luciano Floridi - 2023 - Minds and Machines 33 (1):221-248.
AI-Related Risk: An Epistemological Approach.Giacomo Zanotti, Daniele Chiffi & Viola Schiaffonati - 2024 - Philosophy and Technology 37 (2):1-18.
References found in this work
The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society.
The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2022 - AI and Society 37 (1):215-230.
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation.Jakob Mökander, Maria Axente, Federico Casolari & Luciano Floridi - 2022 - Minds and Machines 32 (2):241-268.
The End of an Era: from Self-Regulation to Hard Law for the Digital Industry.Luciano Floridi - 2021 - Philosophy and Technology 34 (4):619-622.
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