Translate | ISO/IEC 23894:2023 AI Risk Registers, Bias Assessments, Human Oversight and Residual-Risk Decisions

How can a team translate an AI risk assessment without silently upgrading a potential harm into a proven incident, turning a proposed safeguard into a deployed one, or describing an unapproved model as safe? Searches for ISO/IEC 23894:2023 translation, multilingual AI risk registers, AI risk assessment translation and AI bias impact terminology reflect a growing need for precise cross-language governance records.

AI risk documents contain uncertainty, probabilities, populations, intended use, deployment assumptions and responsibility assignments. The same model may perform differently across languages, demographic groups, task environments or data sources. A translation that erases a testing limitation or converts ‘residual risk accepted with conditions’ into ‘risk eliminated’ changes the meaning of the governance decision.

This guide explains the translation of AI risk inventories, impact statements, evaluation summaries, human-oversight arrangements, vendor disclosures, mitigation evidence and monitoring decisions in the context of ISO/IEC 23894:2023. Its purpose is to help readers preserve one narrow, useful type of technical evidence while leaving broad AI policy and general translation frameworks to their existing learning routes.

Quick answer: what must a reliable translation preserve

A controlled source version and its actual release or evidence status
The exact subjects, identifiers, measurements, units, locations and dates used by the source
The responsible actor and the boundary of what that actor has approved
Conditions, exclusions, uncertainty and the difference between plans and completed actions
A terminology register covering technical words that have more than one everyday meaning
An escalation route for source ambiguities rather than a translator’s guess
A language-by-language check of the final document, interface or public message
A clear link back to the source owner when new information supersedes the translation

What ISO/IEC 23894:2023 addresses—and what this article does not

ISO/IEC 23894:2023 provides guidance for organizations developing, producing, deploying or using AI products, systems and services to manage AI-specific risks and integrate risk management into organizational activities. The standard is guidance rather than a translation certification, universal risk score or legal safe-harbour. An AI risk register must also satisfy the organization’s actual jurisdictional rules and governance framework.

This is a translation and communication guide, not a reproduction of the standard’s copyrighted normative text. Readers should consult the official catalogue and their authorized standard copy for exact requirements. In a multilingual organization, the practical question is not whether a term sounds professional; it is whether an expert in another language would take the same action, infer the same status and make the same evidence-based decision.

Who this is for: AI developers, enterprise deployment teams, risk owners, model evaluators, independent auditors, product safety and privacy teams, legal translators, interpreters, procurement officers and affected-community communicators. The examples below are written for readers without a narrow national background. Where laws, permits, clinical judgments or incident orders matter, use the authoritative rules of the actual jurisdiction rather than copying a convenient example from another country.

This article does not determine whether a real AI system is lawful, unbiased, medically safe or suitable for high-stakes deployment. The scenarios are fictional learning materials and must not be used as substitute assessments.

A controlled translation workflow: ten stages

Good translation begins before anyone opens a dictionary. The source owner must state the purpose of the document, who is meant to rely on it, which facts are approved, and what happens when an item is unresolved. The following ten stages make the work inspectable. Each step distinguishes a language choice from the real-world authority needed to approve the claim.

1. Define the system and intended use

Start with model identity, version, task, audience, operating context and explicit exclusions. A model developed for English customer-support classification is not automatically validated for medical triage in another language. Translators should preserve the decision context before translating scores.

At this stage, a useful question for the translator is: what would change if a target-language reader treated a statement as final rather than provisional? Write a short risk note with the document owner. That note should point to the exact phrase at issue, describe the possible reader action, and name the evidence needed to settle the wording. Translate after the meaning is stabilized, not before.

2. Distinguish hazard, event, harm and risk

A potential source of harm, an observed failure, a harmed person and a risk estimate are different categories. Preserve the source terminology and avoid inventing incidents from risk hypotheses or dismissing known incidents as theoretical possibilities.

The editorial rule is to preserve the source’s boundaries, even when the target language would normally favor a shorter sentence. Keep conditions with the action or claim they restrict. A reviewer should be able to underline the target sentence, find its source counterpart, and show that the actor, time, measurement or permission has not moved to a different part of the document.

3. Carry population and language scope

Evaluation results may apply only to specific languages, regions, user groups, accessibility modes or datasets. When a translated report omits those boundaries, readers may incorrectly assume global applicability. Require a population and language register alongside the translated metrics.

Consider the difference between drafting for understanding and authorizing publication. A translator can propose the clearest equivalent; a technical or operational owner confirms whether it matches the underlying facts. Record the decision in a simple log containing the source version, the translation question, the selected wording, the approver and the date. This prevents later editors from repeating a resolved mistake.

4. Control risk scales and denominators

A 1–5 likelihood scale, an incident rate per thousand interactions and a qualitative high-risk category are not interchangeable. Keep scoring definitions, matrix orientation, period, sample size and uncertainty intervals attached to numbers.

Test this stage by deliberately reading only the translated text, without the English original beside it. Ask a qualified target-language reader to explain what they think happened, what remains uncertain, who is accountable and what action is permitted. A mismatch is evidence of a translation problem even when individual words look accurate. Revise the sentence, not the facts.

5. Mark every mitigation by status

Suggested, planned, implemented, tested, monitored and verified controls occupy different stages. A translation that changes ‘under consideration’ into ‘enabled’ can authorize decisions on nonexistent protection. Use a controlled status vocabulary.

The workflow should also survive a source update. Identify which paragraph, field, caption, table or interface string contains the authoritative value; then note where it is repeated across languages. When the source owner changes a number, status or instruction, all dependent versions should be reviewed. A dated, traceable correction is more reliable than an unannounced silent edit.

6. Represent human oversight truthfully

Human-in-the-loop, human-on-the-loop, appeal rights and manual review are not synonyms. Ask what the human can see, change, stop, challenge or reverse, and whether review is mandatory before or after an AI-influenced decision.

7. Preserve evaluation limitations

Benchmark results depend on test design, reference labels, data distribution and error trade-offs. Translate subgroup results and ‘not evaluated’ statuses without smoothing missing evidence into acceptable performance.

8. Keep risk acceptance conditional

A residual-risk decision should retain approver, date, operating conditions, monitoring interval, review triggers and expiry. Acceptance by one business unit is not a general certification for every deployment or translation.

9. Treat model change as a new evidence question

Fine-tuning, prompt changes, tool access, retrieval sources and software updates may alter performance. Preserve the link from risk assessment to the specific released configuration and re-evaluate where the organization’s change criteria require it.

10. Prepare reader-facing explanations

Affected users may need to understand the purpose of AI use, what is uncertain, what a human can do and how to contest an outcome. Translate those rights and channels plainly without promising rights that do not exist in the applicable setting.

Twenty-four worked translation cases: source, failure mode, safer treatment and proof

All source lines in the cases are invented examples for practice; they are not quotations from any ISO standard or live operational communications. For each case, first read the source as a reader would, then compare the failure mode with the suggested translation decision. The proof step is essential: a linguistically plausible paraphrase is still wrong if it changes a role, metric, limit, evidence status or authorized action.

Case 1: Intended-use scope

Illustrative source: Source: ‘Model approved for email classification only; not for medical advice.’

Meaning at risk: A generic ‘approved AI assistant’ would hide a critical exclusion. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep approved task and prohibited use side by side. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Check deployment register and user-facing notices. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make intended-use scope intelligible without requiring the reader to discover an invisible footnote.

Case 2: Model version

Illustrative source: Source: ‘Risk assessment covers model v2.3.1, not the pending v2.4 release.’

Meaning at risk: Removing the version applies old evidence to a new system. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Preserve exact version and release qualifier. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Match model registry and assessment date. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

For production work, include this example in the terminology and exception register if it is likely to recur. Supply the approved source phrase, a plain-language explanation, any machine-readable field or identifier, the target-language rendering and a sentence demonstrating correct usage. A one-word glossary entry alone cannot enforce the relationship between the claim and its conditions.

Case 3: Hypothetical risk

Illustrative source: Source: ‘Possible erroneous denial of service under data drift.’

Meaning at risk: A possible failure must not be described as a confirmed denial. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Translate probability language and scenario conditions. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Trace risk register and incident log separately. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Before releasing an equivalent phrase in another language, run a reverse-explanation check, not a mechanical back-translation exercise. Show the target text to someone who did not read the source and ask for the actor, the boundary, the evidence status and the proposed action. Compare the answers with the case record, then repair any discrepancy with the source owner.

Case 4: Observed incident

Illustrative source: Source: ‘Seven incorrect outputs confirmed in June review.’

Meaning at risk: Saying ‘might have occurred’ understates documented evidence. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Retain confirmed count, period and review method. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Compare quality-control and incident records. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make observed incident intelligible without requiring the reader to discover an invisible footnote.

Case 5: Likelihood rating

Illustrative source: Source: ‘Likelihood 2/5 based on last quarter’s test set.’

Meaning at risk: A numerical score without scale and period misleads. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep 2/5 and published rating definitions. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Check the risk matrix and sample description. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 6: Impact classification

Illustrative source: Source: ‘High potential impact to applicants if not intercepted.’

Meaning at risk: It is conditional potential impact, not proven widespread damage. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Preserve affected group and interception condition. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Confirm impact assessment review. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 7: Residual risk

Illustrative source: Source: ‘Residual risk medium after pilot safeguards; acceptance conditional.’

Meaning at risk: Medium does not mean eliminated or approved everywhere. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep post-control scope and conditional status. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Inspect decision owner, expiry and pilot evidence. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make residual risk intelligible without requiring the reader to discover an invisible footnote.

Case 8: Disparate performance

Illustrative source: Source: ‘Recall lower on dialect subset; sample n=84.’

Meaning at risk: Omitting the small sample hides statistical limitations. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep metric, subgroup, denominator and uncertainty. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Compare evaluation appendix and error definitions. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 9: Missing-language evaluation

Illustrative source: Source: ‘No evaluation completed for Language C.’

Meaning at risk: No data cannot be translated as poor or adequate performance. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Use explicit not-evaluated status. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Check test coverage table before localization. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 10: Bias hypothesis

Illustrative source: Source: ‘Potential selection bias in historic labels is under review.’

Meaning at risk: A hypothesis is not a proven cause of disparity. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep possible cause and current investigation stage. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Consult data provenance and evaluation team. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make bias hypothesis intelligible without requiring the reader to discover an invisible footnote.

Case 11: Explainability claim

Illustrative source: Source: ‘Explanation interface available only for supported workflows.’

Meaning at risk: Universal explainability cannot be inferred. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Preserve supported use cases and known limits. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Test the product’s actual user journey. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 12: Human review gate

Illustrative source: Source: ‘Human reviewer must approve before account suspension.’

Meaning at risk: Replacing preapproval with optional post hoc review changes rights. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep stage, authority and mandatory modality. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Verify control flow and audit logs. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 13: Appeal process

Illustrative source: Source: ‘Users may request review within 30 calendar days.’

Meaning at risk: Business days or automatic reversal would be inventions. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Retain eligibility, clock type and procedure. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Check applicable policy and contact routes. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make appeal process intelligible without requiring the reader to discover an invisible footnote.

Case 14: Automation boundary

Illustrative source: Source: ‘AI recommends; staff make final eligibility decisions.’

Meaning at risk: Calling recommendations ‘automatic decisions’ changes accountability. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Preserve decision ownership and workflow. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Confirm product design and operational SOP. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 15: Vendor score

Illustrative source: Source: ‘Supplier-reported accuracy 93% on proprietary benchmark.’

Meaning at risk: Independent certification must not be implied. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Attribute the claim and describe benchmark scope. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Request vendor report and validation provenance. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 16: Monitoring trigger

Illustrative source: Source: ‘Escalate if monthly error rate exceeds 4%.’

Meaning at risk: A trigger must not become an acceptable safety limit. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep greater-than relation, period and response. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Test example readings against threshold. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make monitoring trigger intelligible without requiring the reader to discover an invisible footnote.

Case 17: Data distribution shift

Illustrative source: Source: ‘Input language mix changed; performance effect not yet measured.’

Meaning at risk: Shift is not automatic proof of model failure. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep observed change and unknown impact separately. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Compare input analytics and planned tests. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 18: Prompt-injection report

Illustrative source: Source: ‘Potential tool-output manipulation discovered in red-team test.’

Meaning at risk: A laboratory finding is not automatically a live user incident. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Preserve test environment and attack route. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Check security report and remediation status. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 19: Mitigation plan

Illustrative source: Source: ‘Content filter proposed; deployment date not approved.’

Meaning at risk: A proposed control must not appear active. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Translate status and unapproved schedule explicitly. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Inspect change ticket and authorization. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make mitigation plan intelligible without requiring the reader to discover an invisible footnote.

Case 20: Implemented safeguard

Illustrative source: Source: ‘Rate limit deployed to production on 12 August.’

Meaning at risk: Implementation is not proof all risk has vanished. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep deployment environment and date. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Review release log and monitoring evidence. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 21: Rollback readiness

Illustrative source: Source: ‘Rollback procedure tested in staging, not production.’

Meaning at risk: Production readiness cannot be asserted from staging tests. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Preserve test environment and unproven conditions. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Confirm release-management records. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 22: Synthetic data note

Illustrative source: Source: ‘Evaluation includes generated examples; not representative field sample.’

Meaning at risk: Calling synthetic examples real user evidence overstates strength. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep dataset origin and representativeness limitation. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Review data card and evaluation design. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

A useful counterfactual for this example is to imagine that the reader sees this sentence alone in a forwarded message, spreadsheet cell, clipped screenshot or extracted PDF. Would they still see the crucial qualification? If not, move the qualification closer to the claim. The objective is to make synthetic data note intelligible without requiring the reader to discover an invisible footnote.

Case 23: Personal-data exposure

Illustrative source: Source: ‘Logs may contain identifiers; access controls are being reviewed.’

Meaning at risk: Calling records anonymous hides a privacy concern. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Retain possibility, access status and response owner. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Consult privacy assessment and log inventory. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Case 24: Risk acceptance

Illustrative source: Source: ‘Risk owner accepts pilot use until next review, subject to daily checks.’

Meaning at risk: Deleting restrictions converts a conditional pilot into general approval. This is not merely a vocabulary preference. A reader who acts on the wrong version may misunderstand the relevant situation, the next step, or the strength of the supporting evidence.

Translation decision: Keep approver, scope, duration and monitoring obligation. Write the target-language statement so that its conditions and ownership can be recovered without consulting hidden translator notes. If the source remains ambiguous, preserve the uncertainty and open a query instead of silently choosing the most convenient interpretation.

Verification: Compare signed decision and current configuration. During review, ask the domain owner and an independent language reader to state what the translation authorizes, what it reports and what it does not establish. The case is closed only when these readings agree with the controlled source and the outcome is logged.

Working terminology: sixteen distinctions worth keeping

intended use: the specific task and context a system is designed and evaluated for. Do not substitute a neighboring term without checking the approved source definition and document context.
risk scenario: a conditional description of how an adverse outcome could arise. Do not substitute a neighboring term without checking the approved source definition and document context.
hazard: a potential source of harm in the relevant assessment framework. Do not substitute a neighboring term without checking the approved source definition and document context.
incident: an event actually observed or recorded. Do not substitute a neighboring term without checking the approved source definition and document context.
likelihood: a stated estimate of how probable a defined event is. Do not substitute a neighboring term without checking the approved source definition and document context.
impact: the assessed consequence or severity under specified assumptions. Do not substitute a neighboring term without checking the approved source definition and document context.
residual risk: risk remaining after the identified controls are considered. Do not substitute a neighboring term without checking the approved source definition and document context.
risk owner: role authorized to manage a particular assessed risk. Do not substitute a neighboring term without checking the approved source definition and document context.
mitigation: a measure designed to reduce likelihood or consequence. Do not substitute a neighboring term without checking the approved source definition and document context.
monitoring trigger: condition requiring review or escalation. Do not substitute a neighboring term without checking the approved source definition and document context.
human oversight: defined authority and intervention within an AI workflow. Do not substitute a neighboring term without checking the approved source definition and document context.
appeal: a procedure to contest an outcome under applicable policy. Do not substitute a neighboring term without checking the approved source definition and document context.
data drift: change in characteristics of incoming information over time. Do not substitute a neighboring term without checking the approved source definition and document context.
subgroup evaluation: performance assessment for a specified subset. Do not substitute a neighboring term without checking the approved source definition and document context.
benchmark: defined test data and metric used to compare performance. Do not substitute a neighboring term without checking the approved source definition and document context.
risk acceptance: a documented decision with scope, conditions and authority. Do not substitute a neighboring term without checking the approved source definition and document context.

The pre-release quality audit

A translation is ready only after someone has checked the whole artifact rather than isolated sentences. The audit should be reproducible: identify the source file and version, approved glossary, author of substantive changes, technical reviewer and the language reviewer. Record unresolved issues openly. When a deadline is urgent, publish only the portion the source owner has cleared and identify missing information instead of inventing completion.

Confirm the real source owner and intended readers; reject ambiguous second-hand screenshots as authoritative sources.
Check every number, unit, identifier, version, date, period, reference link and geographic boundary against the approved file.
Compare the meaning of must, should, may, proposed, measured, verified, pending and completed where used.
Check all exceptions, negative statements, conditions, limitations and uncertainty language.
Review tables, charts, diagram arrows, captions, legends, alt text and links in the final layout.
Verify accessible alternatives and the mobile display rather than relying only on the source spreadsheet or desktop preview.
Ensure that a domain expert and a fluent target-language reader can both explain the outcome.
Record queries, decisions, evidence links, approvals, release time and any superseded versions.

An effective audit can be sampled by severity rather than by arbitrary page count. Always inspect high-consequence actions, numbers, status words and rights first, then extend sampling to terminology consistency, flow and readability. A final style edit must not silently remove technical qualifications. If a reviewer changes a condition, a numeric value or the actor who is allowed to do something, reopen technical approval.

A four-week practical improvement plan

Week 1: discover and define

Collect representative source files, identify the reader questions behind the search intent, and map technical owners. Create a versioned termbase and a list of high-consequence phrases. Record where the original evidence sits, which text is already approved and which claims are only planned or under review.

A useful deliverable for this week is a one-page status sheet naming the current source, affected languages, outstanding factual queries, technical approver and release decision. It must distinguish work completed from work merely scheduled. That distinction makes translation performance visible to everyone depending on the document, including people who do not speak the source language.

Week 2: draft and challenge

Translate a small set of representative artifacts and deliberately challenge them with difficult cases: a numeric change, a negative condition, an exception, an outdated screenshot and an unresolved term. Ask independent readers to explain actions and evidence statuses from the target alone.

Week 3: test the real format

Place translations inside the actual PDF, dashboard, social-media post, diagram or operational procedure. Check truncation, screen-reader order, units, links, legends and direction of arrows. Review changes with technical stakeholders and document every substantive decision.

Week 4: publish and monitor

Release only approved versions, monitor user questions, and keep a correction route ready. Compare different languages against new source updates. Record terminology decisions and recurring misunderstandings so the next assignment begins with better evidence rather than repeating the first project’s uncertainties.

Frequently asked questions

Can ISO/IEC 23894 certify an AI system safe?

It provides risk-management guidance. The existence of a risk assessment is not proof that a particular system is safe, compliant or suitable for every use. Preserve the exact claim and responsible authority.