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Governing artificial intelligence: ethical, legal, and technical opportunities and challenges

Governing artificial intelligence: ethical, legal, and technical opportunities and challenges

Published on
16 Oct 2018
This issue of Philosophical Transactions of the Royal Society B, edited by OII members, presents an analysis of the challenges and opportunities posed in developing accountable, fair and transparent governance for Artificial Intelligence systems.

OII members have edited a new issue of Philosophical Transactions of the Royal Society B, providing an in-depth analysis of the challenges and opportunities posed in developing accountable, fair and transparent governance for Artificial Intelligence (AI) systems. This edition of the journal, which is published by the Royal Society, focuses on the question of how can this be achieved, and through which frameworks.

AI increasingly permeates every aspect of our society, from the critical, like, law enforcement, healthcare, and humanitarian aid, to the everyday like dating. Simultaneously, AI may be misused or behave in unpredictable and potentially harmful ways. Questions on the role of the law, ethics, and technology in governing AI systems are thus more relevant than ever before.

Corinne Cath, DPhil student at the Oxford Internet Institute, and an editor of the theme issue says: The governance of Artificial Intelligence (AI) poses crucial challenges. Not only does it require us to address multiple technical, legal and ethical questions about how to build our wired future, it also asks us to engage with the hard questions regarding data-driven business models, technology-culture, representation and equity. This special issue will cover a wide array of these questions and provide concrete proposals to ensure AI systems positively impact society.’

The special issue was edited by Cath, along with OII faculty Dr Sandra Wachter, Dr Brent Mittelstadt, and Professor Luciano Floridi.

The full issue can be found after publication at: http://rsta.royalsocietypublishing.org/content/376/2133

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