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Record STMT-W65382CVoluntary

Information technology — Artificial intelligence (AI) — AI system impact assessment

Standard Institutional policyGlobalin force

ISO/IEC 42005:2025 provides guidance for organisations conducting AI system impact assessments to understand how AI systems affect individuals, groups, or society. The standard supports transparency, accountability, and trust by helping organisations identify, evaluate, and document potential impacts throughout the AI system lifecycle. It complements other standards such as ISO/IEC 42001 and ISO/IEC 23894 by focusing specifically on the societal and human impacts of AI.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

International Organization for StandardizationStandards body
Lead issuer
International Electrotechnical CommissionStandards body
Co-issuer
ISO/IEC JTC 1/SC 42Standards body
Co-issuer
Legal forceVoluntary
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

CompaniesAI developers and providersAI deployers and usersResearchers and academics

Organisations developing, providing, or using AI systems that want to assess and manage the potential impacts of their AI systems on people and society.

Sectors
Cross-sector

What the document contains

What's covered

Guidance on conducting AI system impact assessments to understand how AI systems and their foreseeable applications affect individuals, groups, or society. It covers performing assessments throughout the AI system lifecycle, from design and development to deployment and post-market monitoring.

What's missing

Specific sector-level legal mandates or enforcement mechanisms are not detailed in the text.

Key takeaways
  • ISO/IEC 42005:2025 provides guidance for organisations conducting AI system impact assessments.
  • The standard helps organizations identify, evaluate, and document potential impacts on individuals, groups, and society throughout the AI lifecycle.
  • It supports transparency, accountability, and responsible innovation aligned with values like fairness, safety, and human-centred design.
  • The standard is intended to be used by any organization developing, providing, or using AI systems regardless of sector or size.
Principles it states
transparencyaccountabilitytrustfairnesssafetyhuman-centred design
Outline
Not stated
Issued28 May 2025
Length682 words
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

The standard supports transparency, accountability and trust in AI by helping organisations identify, evaluate and document potential impacts

What is ISO/IEC 42005?

screening score · 2026-10-23

Fairness

3/5

Non-discrimination and equitable treatment

it enables them to align AI development with values such as fairness, safety, and human-centred design .

Why is ISO/IEC 42005 important?

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

N/A

screening score · 2026-10-23

Human Oversight

1/5

Humans remain in control of consequential decisions

human-centred design

Why is ISO/IEC 42005 important?

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

N/A

screening score · 2026-10-23

Transparency

3/5

Openness about how AI systems work and are used

The standard supports transparency, accountability and trust in AI by helping organisations identify, evaluate and document potential impacts

What is ISO/IEC 42005?

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

N/A

screening score · 2026-10-23

Impact Assessment

5/5

Required assessment of an AI system's risks/impacts before or during use

ISO/IEC 42005 provides guidance for organisations conducting AI system impact assessments .

What is ISO/IEC 42005?

screening score · 2026-10-23

Topics

ai_system_impact_assessment artificial_intelligence risk_management ai_governance responsible_ai