Overview
ISO/IEC 42005:2025 - Information technology - Artificial intelligence (AI) - AI system impact assessment provides guidance for organizations to perform formal, documented AI system impact assessments that evaluate effects on individuals, groups and societies. The standard covers when and how to assess impacts across the AI lifecycle, how to document findings, and how to integrate the assessment process into an organization’s AI risk management and AI management system. It is intended for any organization developing, providing or using AI systems, regardless of size or sector.
Key topics and requirements
ISO/IEC 42005:2025 addresses practical elements required to build a repeatable impact-assessment capability:
- Developing and implementing the assessment process - establishing documented procedures and responsibilities.
- Integration with existing governance, risk and management processes (AI risk management, AI management system).
- Timing and scope - guidance on at which life‑cycle stages to perform assessments and defining assessment boundaries.
- Allocation of responsibilities and approval workflows.
- Thresholds and impact scales - defining sensitive or restricted uses and impact levels.
- Performing assessments and analysis - identifying actual and reasonably foreseeable impacts, including benefits and harms.
- Documentation requirements - comprehensive AI system information (purpose, intended/unintended uses, data quality, algorithms, models, deployment environment).
- Recording, reporting, monitoring and review - maintaining traceable records and updating assessments as systems evolve.
- Mitigation and measures - documenting measures to address harms and enhance benefits.
Practical applications and users
ISO/IEC 42005:2025 is intended for:
- AI developers and system integrators documenting impacts and controls.
- Service providers and platform operators assessing deployment risks.
- Compliance, legal and risk teams integrating AI impact assessments into organizational risk frameworks.
- Procurement and product managers requiring objective assessment evidence for third‑party AI systems.
- Regulators and auditors seeking a standardized approach to evaluate organizational practices.
Practical uses include assessing fairness, privacy, safety, environmental and societal impacts; informing design decisions; preparing compliance evidence; and supporting stakeholder transparency to build trustworthy AI.
Related standards
ISO/IEC 42005:2025 helps organizations operationalize impact assessment as part of a broader AI governance and risk management ecosystem, improving transparency and accountability for AI deployments.