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IEEE P7001: A Proposed Standard on Transparency.

Alan F T Winfield1, Serena Booth2, Louise A Dennis3

  • 1Bristol Robotics Laboratory, UWE Bristol, Bristol, United Kingdom.

Frontiers in Robotics and AI
|August 12, 2021
PubMed
Summary
This summary is machine-generated.

This paper introduces IEEE P7001, a draft standard for ensuring transparency in autonomous systems. It defines measurable transparency levels for various stakeholders, aiding system assessment.

Keywords:
AI ethicsautonomous systemsexplainabilityrobot ethicstransparency

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Area of Science:

  • Computer Science
  • Engineering
  • Ethics

Background:

  • Autonomous systems require clear accountability and understanding.
  • Existing standards lack specific provisions for system transparency.
  • Ensuring public trust necessitates verifiable transparency in AI.

Purpose of the Study:

  • To introduce and detail the IEEE P7001 draft standard.
  • To establish transparency as a measurable and testable property for autonomous systems.
  • To define distinct levels of transparency tailored to diverse stakeholder needs.

Main Methods:

  • Development and structural outline of the IEEE P7001 draft standard.
  • Rationale presentation for transparency as a quantifiable attribute.
  • Identification and analysis of five key stakeholder groups.
  • Normative definition of transparency levels for each stakeholder group.
  • Illustrative application via case studies of fictional autonomous systems.

Main Results:

  • IEEE P7001 provides a framework for specifying and assessing autonomous system transparency.
  • Defined transparency levels cater to users, the public, regulators, investigators, and legal experts.
  • Worked examples demonstrate practical implementation of the standard's principles.

Conclusions:

  • IEEE P7001 offers a robust methodology for enhancing accountability in autonomous systems.
  • The standard promotes greater trust and safety through measurable transparency.
  • Standardization of transparency is crucial for the responsible development and deployment of AI.