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Transparent, explainable, and accountable AI for robotics

Sandra Wachter, Brent Mittelstadt & Luciano Floridi

Science (Robotics) 2 (6):eaan6080 (2017)

@article{Wachter2017-WACTEA, author = {Sandra Wachter and Brent Mittelstadt and Luciano Floridi}, journal = {Science (Robotics)}, number = {6}, pages = {eaan6080}, title = {Transparent, Explainable, and Accountable Ai for Robotics}, volume = {2}, year = {2017} } Wachter, Sandra ; Mittelstadt, Brent & Floridi, Luciano (2017). Transparent, explainable, and accountable AI for robotics. Science (Robotics) 2 (6):eaan6080.

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Abstract

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

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Brent Mittelstadt

University of Oxford

Archival history

Archival date: 2017-12-01
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Categories

Engineering Ethics in Applied Ethics

Machine Ethics in Philosophy of Cognitive Science

Philosophy of Technology, Misc in Philosophy of Computing and Information

Robot Ethics in Applied Ethics

Technology Ethics, Misc in Applied Ethics

Keywords

ethics  AI  artificial intelligence  machine learning  robotics  GDPR  data protection  privacy  data ethics

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