Standards and Regulation: IEEE Standards

中文版

Standards and Regulation · IEEE Standards. IEEE technical standards and working groups. This source has 6 entries admitted under this category's review policy; each links directly to the original.

Authority tiers in this category: A1.

• IEEE 7000-2021: model process for addressing ethical concerns during system design

  Publisher: IEEE Standards Association · Collection: IEEE 7000 Series · Format: Engineering process standard · Authority tier: A1 · Review status: Passed single-tier standards and regulation review

  Brings identification of ethical values, risk analysis and traceable requirements into the system design lifecycle.

  Evidence use: Supports the process scope of IEEE 7000 and its positioning as ethical design.

  Limitations: A voluntary standard, not a regulation. The full text is subject to IEEE access conditions.

  Related concepts: AI Governance and Regulation · Human-in-the-loop (HITL)

  Link last checked: 2026-09-24

• IEEE 7001-2021: transparency of autonomous systems

  Publisher: IEEE Standards Association · Collection: IEEE 7000 Series · Format: Transparency standard · Authority tier: A1 · Review status: Passed single-tier standards and regulation review

  Specifies general requirements and metrics for measuring and communicating the transparency of autonomous systems.

  Evidence use: Supports statements about transparency goals, stakeholders and assessment scope.

  Limitations: Voluntary adoption. Cannot replace jurisdictional disclosure obligations.

  Related concepts: AI Governance and Regulation · AI Interpretability

  Link last checked: 2026-09-24

• IEEE 7003-2024: algorithmic bias considerations

  Publisher: IEEE Standards Association · Collection: IEEE 7000 Series · Format: Algorithmic bias standard · Authority tier: A1 · Review status: Passed single-tier standards and regulation review

  Provides a process framework for identifying, documenting, assessing and mitigating algorithmic bias.

  Evidence use: Supports IEEE's standardized approach to process controls for algorithmic bias.

  Limitations: A voluntary standard. Does not prove that an individual system is free of bias.

  Related concepts: Bias and Fairness · Model Evaluation and Benchmarks

  Link last checked: 2026-09-24

• IEEE 7010-2020: assessing the impact of autonomous and intelligent systems on human well-being

  Publisher: IEEE Standards Association · Collection: IEEE 7000 Series · Format: Impact assessment standard · Authority tier: A1 · Review status: Passed single-tier standards and regulation review

  Gives methods for identifying, measuring and monitoring the impact of intelligent systems on human well-being.

  Evidence use: Supports the metrics and process positioning of well-being impact assessment.

  Limitations: A guidance recommended practice. Must account for the specific population and scenario.

  Related concepts: AI Governance and Regulation · Human-in-the-loop (HITL)

  Link last checked: 2026-09-24

• IEEE 3119-2025: AI procurement

  Publisher: IEEE Standards Association · Collection: IEEE AI Standards · Format: Procurement standard · Authority tier: A1 · Review status: Passed single-tier standards and regulation review

  Provides standardized practice for requirements, risk, supplier assessment and lifecycle oversight when procuring AI systems.

  Evidence use: Supports the scope of AI procurement governance and supplier assessment requirements.

  Limitations: Does not replace government procurement law or contract terms.

  Related concepts: AI Governance and Regulation · Model Selection and Cost

  Link last checked: 2026-09-24

• IEEE 2863-2026: organizational governance of AI

  Publisher: IEEE Standards Association · Collection: IEEE AI Standards · Format: Recommended practice for organizational governance · Authority tier: A1 · Review status: Passed single-tier standards and regulation review

  Provides recommended practice for establishing cross-functional AI governance structures, responsibilities and oversight mechanisms in organizations.

  Evidence use: Supports the scope of IEEE's recommended practice for organizational AI governance.

  Limitations: A recommended practice, not a generally mandatory rule.

  Related concepts: AI Governance and Regulation · Human-in-the-loop (HITL)

  Link last checked: 2026-09-24