Transparent, explainable, and accountable AI for robotics

Sandra Wachter, Brent Mittelstadt & Luciano Floridi

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

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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.

Keywords

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

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

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PhilPapers/Archive ID

WACTEA

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Archival date: 2017-12-01
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Applied ethics	Epistemology	History of Western Philosophy	Meta-ethics	Metaphysics	Normative ethics
Philosophy of biology	Philosophy of language	Philosophy of mind	Philosophy of religion	Science Logic and Mathematics	More ...

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