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IEEE P7001: a proposed standard on transparency

  • Alan F. T. Winfield*
  • , Serena Booth
  • , Louise A. Dennis
  • , Takashi Egawa
  • , Helen Hastie
  • , Naomi Jacobs
  • , Roderick I. Muttram
  • , Joanna I. Olszewska
  • , Fahimeh Rajabiyazdi
  • , Andreas Theodorou
  • , Mark A. Underwood
  • , Robert H. Wortham
  • , Eleanor Watson
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    61 Downloads (Pure)

    Abstract

    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.

    Original languageEnglish
    Article number665729
    JournalFrontiers in Robotics and AI
    Volume8
    DOIs
    Publication statusPublished - 26 Jul 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities
    3. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production
    4. SDG 14 - Life Below Water
      SDG 14 Life Below Water
    5. SDG 15 - Life on Land
      SDG 15 Life on Land
    6. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions
    7. SDG 17 - Partnerships for the Goals
      SDG 17 Partnerships for the Goals

    Keywords

    • AI ethics
    • autonomous systems
    • explainability
    • robot ethics
    • transparency

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