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Control A.5.2ISO/IEC 42001:2023 · Individuals, Groups and Society

ISO 42001 Annex A.5.2: Build a Usable AI Impact Assessment Process

ISO 42001 control A.5.2 addresses a process for assessing potential consequences for individuals, groups and society across an AI system's lifecycle. It develops the practical assessment arrangements alongside clauses 6.1.4 and 8.4. Selecting controls through risk treatment does not remove those management-system assessment requirements.

Part ofA.5 · Individuals, Groups and Society|Reading time 5 min

What control A.5.2 requires in practice

Control A.5.2 asks the organisation to establish a process for assessing the potential consequences of an AI system for individuals, groups of individuals and societies, across the system's life cycle. The word process matters: a single assessment for one release does not meet the intent if nothing governs the next system or the next change. Annex B, as guidance, suggests what the process may address: when an assessment is performed, for example according to how critical the purpose is, how complex or automated the technology is and how sensitive the data is; what elements the assessment contains, from identifying sources and events through analysis, evaluation and treatment to reporting; who carries it out; how results feed design or use and trigger reviews; and which individuals and societies may be affected. It also invites the organisation to check whether existing privacy or safety assessments cover AI aspects adequately.

Design the process around a decision

Annex B.5.2 considers intended purpose, context, automation, technology complexity and data sensitivity when shaping assessment arrangements. It also addresses contributors, assessment activities and how findings inform design or use. The guidance is normative and must be considered, while B.1 allows the organisation to tailor its implementation.

Begin by identifying the decision that needs an impact perspective. A proposed deployment, a material extension or an operational review may require different depth. Explain who contributes relevant knowledge and how the results reach the people choosing treatment or operating conditions.

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Why an AI impact assessment process matters

Decisions about AI are often made quickly, by teams focused on capability and delivery. A defined assessment process gives them a point at which someone asks who could be affected and how, and gives management a record of what was considered. This reduces the chance of expensive late redesign, complaints and loss of client confidence. It also saves effort over time, because a clear trigger and method prevent every new use case from being argued from scratch. Where organisations already run privacy or safety assessments, a joined-up process avoids duplicated questionnaires and conflicting conclusions. For buyers and regulators, a working process is far more persuasive than a single polished assessment of a flagship system.

How to implement control A.5.2

Design the process around the decisions it must inform, and keep it light enough to be used. The process should scale with the system, so a light assessment can cover routine uses while deeper work is reserved for higher-stake or novel ones.

  1. Identify the decisions that need an impact view, such as approving a new system, a material extension or a change of use.
  2. Define triggers, using factors such as criticality, level of automation and sensitivity of data.
  3. Set out the steps: identify possible effects, analyse likelihood and consequence, evaluate, decide treatment and record the outcome.
  4. Say who performs the assessment and which expertise, including affected-user or domain knowledge, must contribute.
  5. Define how results reach those choosing treatment, and what can pause or condition a release.
  6. Check existing privacy, safety and security assessments, and decide how they connect to this process.
  7. Run it on a real system, then adjust questions that produced little value.

Illustrative software example: recommendations become automatic

Illustrative example 1

A software company offers AI suggestions for organising customer requests. It proposes allowing the system to close requests automatically when it considers them resolved. This changes how users may be affected, especially where an incorrect closure prevents timely attention.

Illustrative example 2

The assessment process brings together product, service and relevant user knowledge. It examines the consequence path, opportunities to correct information and the role of human intervention. The process does not assume that the earlier advisory assessment covers the new level of automation.

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Keep clause A.5.2 alive in Effivity

Record what you decided under clause A.5.2, link it to the records and controls it affects, and let the review date trigger the next look. Effivity is the ISO & GRC software used in 50+ countries — and part of every Sterling ISO/IEC 42001 programme.

Illustrative construction example: context changes the interpretation

A construction group uses image analysis to describe project progress. On a new site, images capture only part of the work and miss activities performed indoors. Management proposes using the reports in discussions about subcontractor performance.

The assessment process identifies who understands the missing context and who could be affected by the resulting interpretation. It examines intended use and foreseeable misuse, including reports circulated without qualifications. A technical image-recognition score alone cannot answer those questions.

Make the assessment activities coherent

A useful process identifies potential effects, analyses their significance, evaluates what needs attention and connects the result with appropriate responses. Documentation and communication preserve the decision basis. The organisation can integrate these activities with risk management while retaining the specific perspective on people and society.

Do not treat a workshop as complete merely because participants discussed ethical topics. The output should explain the relevant use, affected parties, consequence pathways and unresolved questions. It should also identify how the findings influence the decision being made.

Coordinate specialist assessments

Privacy, security, safety or other specialist work may address important parts of the impact picture. Annex B encourages examining whether such assessments adequately incorporate AI considerations. Reuse relevant evidence, but check the boundary rather than assume one specialist report covers every consequence.

For the construction example, information-governance review may address image handling but not whether performance conclusions are misleading. Different expertise can contribute to a connected assessment without creating duplicate reports for their own sake.

Evidence and practical tests

What counts as evidence

The control calls for an established process. Its documented results connect with impact documentation and the requirements in clause 6.1.4. Test whether a consequential proposed change is recognised, suitable contributors are involved and findings reach risk assessment.

Common weaknesses include requiring a form only at initial purchase, treating users as the only affected people and producing conclusions without evidence of the actual decision path. A process should be able to identify uncertainty and obtain further input rather than force every assessment into an automatic approval.

Common nonconformities with A.5.2

Findings usually concern a process that exists on paper but does not govern real decisions.

  • An assessment was completed for one flagship system but there is no defined process or trigger for other systems or changes.
  • The assessment considers risks to the organisation only, with no examination of effects on users or affected groups.
  • Results are filed but do not visibly influence design, release conditions or monitoring.
  • People who understand the affected users or the domain were not involved, so important effects were missed.
  • A material change to the system's purpose or automation level was made without any reassessment.

Frequently asked questions

Can impact assessment be integrated with risk assessment?

Yes, if the required impact questions and their contribution to risk decisions remain identifiable. Integration should preserve the affected-party perspective.

Does the control prescribe a universal assessment form?

No. Consider the guidance and design an approach appropriate to the role, domain and use.

Can a privacy assessment replace the whole impact assessment?

It may contribute important evidence. Check whether other relevant effects on people and society remain unexamined.

Build the process around a consequential AI proposal

Discuss an AI impact-assessment workflow with Sterling, including triggers, contributors and decisions. Scoped implementation can include documentation and Effivity ISO & GRC automation software. AI Risk & Impact Assessment develops relevant understanding. Return to the impact theme or the library.

Source basis and reading note. This is original practical guidance for ISO/IEC 42001:2023. Use an authorised copy for definitive requirements. Illustrative examples describe hypothetical situations, not client results. Implementation methods are distinguished from requirements; independent bodies decide management-system certification outcomes. Issuer standard record · Control guidance considers Annex B as required by clause 6.1.3(e); implementation is tailored to the organisation. Issuer standard record: iso.org.
Disclaimer. This guide is provided for general information only. It is not the text of the standard, not legal or professional advice, and not a representation of how any certification body will assess your organisation. Sterling International Consulting accepts no liability for any loss arising from reliance on it. Requirements are applied to each organisation's own context through an engagement; contact us to implement ISO/IEC 42001 in your organisation.