Literature DB >> 33157874

Transparent, explainable, and accountable AI for robotics.

Sandra Wachter1, Brent Mittelstadt2,3,4, Luciano Floridi2,3.   

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.

Year:  2017        PMID: 33157874     DOI: 10.1126/scirobotics.aan6080

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  4 in total

1.  Optimus Primed: Media Cultivation of Robot Mental Models and Social Judgments.

Authors:  Jaime Banks
Journal:  Front Robot AI       Date:  2020-05-07

2.  Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution.

Authors:  E Fosch-Villaronga; S van der Hof; C Lutz; A Tamò-Larrieux
Journal:  AI Soc       Date:  2021-10-06

3.  Characterization of Indicators for Adaptive Human-Swarm Teaming.

Authors:  Aya Hussein; Leo Ghignone; Tung Nguyen; Nima Salimi; Hung Nguyen; Min Wang; Hussein A Abbass
Journal:  Front Robot AI       Date:  2022-02-17

4.  Framing Effects on Judgments of Social Robots' (Im)Moral Behaviors.

Authors:  Jaime Banks; Kevin Koban
Journal:  Front Robot AI       Date:  2021-05-10
  4 in total

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