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Transparent, explainable, and accountable AI for robotics

Wachter, S; Mittelstadt, B; Floridi, L; (2017) Transparent, explainable, and accountable AI for robotics. Science Robotics , 2 (6) , Article eaan6080. 10.1126/scirobotics.aan6080. Green open access

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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.

Type: Article
Title: Transparent, explainable, and accountable AI for robotics
Open access status: An open access version is available from UCL Discovery
DOI: 10.1126/scirobotics.aan6080
Publisher version: https://doi.org/10.1126/scirobotics.aan6080
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10038294
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