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IEEE P7001: A Proposed Standard on Transparency.
Winfield, Alan F T; Booth, Serena; Dennis, Louise A; Egawa, Takashi; Hastie, Helen; Jacobs, Naomi; Muttram, Roderick I; Olszewska, Joanna I; Rajabiyazdi, Fahimeh; Theodorou, Andreas; Underwood, Mark A; Wortham, Robert H; Watson, Eleanor.
Afiliación
  • Winfield AFT; Bristol Robotics Laboratory, UWE Bristol, Bristol, United Kingdom.
  • Booth S; Computer Science and AI Laboratory (CSAIL), MIT, Cambridge, MA, United States.
  • Dennis LA; Department of Computer Science, University of Manchester, Manchester, United Kingdom.
  • Egawa T; NEC Corporation, Tokyo, Japan.
  • Hastie H; Department of Computer Science, Heriot-Watt University, Edinburgh, United Kingdom.
  • Jacobs N; ImaginationLancaster, Lancaster Institute for Contemporary Arts, University of Lancaster, Lancaster, United Kingdom.
  • Muttram RI; Fourth Insight Ltd, Ewhurst, United Kingdom.
  • Olszewska JI; School of Computing and Engineering, University of the West of Scotland, Paisley, United Kingdom.
  • Rajabiyazdi F; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
  • Theodorou A; Department of Computing Science, Umeå University, Umeå, Sweden.
  • Underwood MA; Synchrony Financial, Stamford, CT, United States.
  • Wortham RH; Department of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
  • Watson E; Nell Watson Ltd., Carrickfergus, United Kingdom.
Front Robot AI ; 8: 665729, 2021.
Article en En | MEDLINE | ID: mdl-34381820
This paper describes IEEE P7001, a new draft standard on transparency of autonomous systems. In the paper, we outline the development and structure of the draft standard. We present the rationale for transparency as a measurable, testable property. We outline five stakeholder groups: users, the general public and bystanders, safety certification agencies, incident/accident investigators and lawyers/expert witnesses, and explain the thinking behind the normative definitions of "levels" of transparency for each stakeholder group in P7001. The paper illustrates the application of P7001 through worked examples of both specification and assessment of fictional autonomous systems.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Robot AI Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Robot AI Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza