Transparent, explainable, and accountable AI for robotics

Sci Robot. 2017 May 31;2(6):eaan6080. doi: 10.1126/scirobotics.aan6080.

Authors

Sandra Wachter¹, Brent Mittelstadt^{2

3

4}, Luciano Floridi^{2

3}

Affiliations

¹ Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, UK. sandra.wachter@oii.ox.ac.uk.
² Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, UK.
³ Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, UK.
⁴ Department of Science and Technology Studies, University College London, 22 Gordon Square, London, WC1E 6BT, UK.

PMID: 33157874
DOI: 10.1126/scirobotics.aan6080

Abstract

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

Copyright © 2017, American Association for the Advancement of Science.

Publication types

Review