Transparent, explainable, and accountable AI for robotics

Sandra Wachter; Brent Mittelstadt; Luciano Floridi

doi:10.1126/scirobotics.aan6080

Transparent, explainable, and accountable AI for robotics

Sandra Wachter (University of Oxford) iD Brent Mittelstadt (University of Oxford) iD Luciano Floridi (University of Oxford) iD

Journal: Science Robotics • 2017-05-31 • American Association for the Advancement of Science • ISSN: 2470-9476

Abstract

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

Subjects & Keywords

# Explainable Artificial Intelligence (XAI) # Computer Science # Ethics and Social Impacts of AI # Social Sciences # Safety Systems Engineering in Autonomy # Engineering

How to Cite this Article

                    Sandra Wachter, Brent Mittelstadt, Luciano Floridi (2017). "Transparent, explainable, and accountable AI for robotics". Science Robotics. https://doi.org/10.1126/scirobotics.aan6080                

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Identifiers & Provenance

DOI: https://doi.org/10.1126/scirobotics.aan6080 ↗
PMID: 33157874 ↗
OpenAlex: W2618694529 ↗
Primary Index: OPENALEX