The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives

doi:10.1017/9781009207898

The Cambridge Handbook of Responsible Artificial Intelligence

Interdisciplinary Perspectives

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Lyons, Joseph B. Hobbs, Kerianne Rogers, Steve and Clouse, Scott H. 2023. Responsible (use of) AI. Frontiers in Neuroergonomics, Vol. 4, Issue. ,

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Londoño, Laura Valeria Hurtado, Juana Hertz, Nora Kellmeyer, Philipp Voeneky, Silja and Valada, Abhinav 2024. Fairness and Bias in Robot Learning. Proceedings of the IEEE, Vol. 112, Issue. 4, p. 305.

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Dhabliya, Dharmesh Dari, Sukhvinder Singh Dhablia, Anishkumar Akhila, N. Kachhoria, Renu Khetani, Vinit Li, G. Subramaniam, U. and Sekar, M. 2024. Addressing Bias in Machine Learning Algorithms: Promoting Fairness and Ethical Design. E3S Web of Conferences, Vol. 491, Issue. , p. 02040.

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Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Medical Center, Albert-Ludwigs-Universität Freiburg, Germany, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg

Publisher:: Cambridge University Press
Online publication date:: October 2022
Print publication year:: 2022
Online ISBN:: 9781009207898
DOI:: https://doi.org/10.1017/9781009207898
Creative Commons:: This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/creativelicenses

Series:: Cambridge Law Handbooks
Subjects:: Law: General Interest, Computer Science, Computing and Society, Law, Law and technology, science, communication
Collection:: Cambridge Law Handbooks

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In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core.

‘… an indispensable and thought-provoking resource for shaping the future of AI and its societal impact.’

Matija Franklin Source: Prometheus

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