DesignationISO/IEC/IEEE DIS 42703
Stage40.99, DIS approved for FDIS
Planning date, an estimate13 Sep 2027
Published source todayIEEE Std 7003-2024
The register

All 61 clauses, from scope to ongoing evaluation

Every page is written from the published IEEE edition behind the joint ISO/IEC/IEEE project. Each one states the requirement in our words, the evidence an assessor asks for, the common failures and the work to do before publication. Start where the system is, not where the page numbers are.

61 clause records269 evidence lines201 failure lines23,923 authored words

Start at clause 4 The bias profile Annexes

1. Overview and scope

ClauseRecordThe answer in one line
1.1ScopeThe standard is a creation-time process for considering bias in an algorithmic system, not a live audit or a certificate.
1.2PurposeThe purpose is to let a creator define, measure and communicate how bias is used in the system, and to show the practices behind that claim.
1.3Word usageOnly shall creates a requirement. Should is a recommendation, may is a permission and can is a capability.
1.4Field of applicationScope follows the outcome, not the technology, and five life cycle events bring a system into the process.
1.5LimitationsThe standard covers creation. It does not detect or evaluate a problematic algorithm in live use, and it does not track or certify.
1.6Organization of the standardSix normative clauses run around one record, the bias profile, and every clause is revisited as the system changes.
1.7AudienceThe standard is written for suppliers, procurers, developers, maintainers, auditors, operators, users and managers, including in-house teams.
1.8ConformanceA project or organization can claim conformance, use the standard in a contract, or adopt it in-house. None of these is a certificate.
1.9DisclaimerThe standard sets minimum criteria. It does not guarantee that the system meets its mission or that no harm will occur, and it does not replace legal or ethical duties.

2. Normative references

ClauseRecordThe answer in one line
2Normative referencesThere are no normative references. Nothing else has to be read for the standard to apply.

3. Definitions

ClauseRecordThe answer in one line
3.1DefinitionsThe clause defines the algorithm, the system, bias, the bias profile, the stakeholder types, protected and sensitive attributes, and the three drift terms.
3.2Acronyms and abbreviationsThe clause fixes the short forms, principally AIS, and keeps the rest of the document readable without a decoder.

4. Requirements for bias consideration

ClauseRecordThe answer in one line
4.1PurposeClause 4 starts the bias work by fixing the system's bias requirements and boundaries before any data or model work.
4.2InputsClause 4 needs the business requirements and the case for the system, the design documentation, and the governance material that frames the work.
4.3OutputsClause 4 produces the bias profile with its requirements and boundaries, and a values statement that carries the bias considerations.
4.4ActionsEight actions turn the inputs into the profile: collect records, represent sensitive attributes, set accountability, list life cycle requirements, build the profile, write values, set boundaries, and establish procedures.
4.5OutcomesThe team knows the contents of the bias profile and the boundaries of acceptability for the system.

5. The bias profile

ClauseRecordThe answer in one line
5.1PurposeThe bias profile is the through-life record of the bias work, built from data, model and code and kept across every iteration.
5.2The bias profile and the system life cycleThe profile keeps the initial, intermediate and most recent versions of every task document, and every clause reads and updates it.
5.2.1Requirements for bias considerationThe clause 4 requirements enter the profile as the first entry and are revisited at every iteration.
5.2.2Stakeholder identification in the life cycleStakeholder identification has two goals, and it depends on resourcing, representation and the system's relation to systemic and cultural bias.
5.2.3Data representation in the life cycleThe data work maps the system's data to the identified stakeholders and records provenance, governance, collection and the biases the data can cause.
5.2.4Risk and impact assessment in the life cycleThe risk and impact assessment is resourced for the full life cycle and takes the stakeholder and data work as inputs.
5.2.5Evaluation in the life cycleEvaluation is resourced across the life cycle and begins with how the system uses data and whether it is a solution in its context of use.

6. Stakeholder identification

ClauseRecordThe answer in one line
6.1PurposeClause 6 identifies every stakeholder and their attributes so the later steps can define the groups for which bias is examined.
6.2InputsThe inputs are the business case with its first stakeholder record, the technical requirements, the context of use, other necessary information and the bias profile.
6.3OutputsThe output is an updated profile with five entries: the reference set, the order of importance, the type, the attributes, and the protected attributes with their rationale.
6.4ActionsTen actions record the method, apply diverse perspectives, identify both stakeholder types and their attributes, find protected attributes, test for bias, update clause 4, measure influence and feed clause 8.
6.5OutcomesThe team has a stakeholder reference set that is used across the life cycle, with types, attributes and protected attributes identified.

7. Data representation

ClauseRecordThe answer in one line
7.1PurposeClause 7 records the types and sources of the data and shows how fully the data represents the identified stakeholders.
7.2InputsThe inputs are the business case, the data and metadata, and the stakeholder section of the profile.
7.3OutputsThe outputs are the data map, the metadata and an updated bias profile.
7.4ActionsThe actions decide what data to include, record the reasons, describe the collection conditions, explore the data for bias and map it to the stakeholders.
7.4.1Decisions about dataEvery decision to include, remove or leave out data or attributes is recorded with its reason, concern and limitation.
7.4.2MetadataThe metadata records the type of each feature and the conditions under which each data set was collected or created, with the reasons for each choice.
7.4.2.1Collection and creation conditionsThe record covers the source, jurisdiction, reason, first use, collection method, consent, opt-out, timing, anonymization and relation to other data, plus proxies, synthetic generation, fitness and quality.
7.4.2.2Data explorationThe data is examined for bias before the system is implemented, including sensitive and non-sensitive attributes and the correlation or causation between them.
7.4.2.3Data mapThe map connects data attributes to the impacted stakeholders, is repeated after retraining, and records every imbalance.
7.5OutcomesThe team knows how the data represents the stakeholders, and that knowledge feeds the risk assessment, the evaluation and the mitigation work.

8. Risk and impact assessment

ClauseRecordThe answer in one line
8.1PurposeThe risk and impact assessment starts at the business case, runs across the life cycle and is updated at every change.
8.2InputsThe inputs are the current versions of the profile, values statement, stakeholder work, data representation and evaluation, plus the business case, design, deployment strategy and retirement plan.
8.3OutputsThe outputs are an updated bias profile and an initial or updated risk and impact assessment.
8.4ActionsThe actions start the assessment at the business case, update it at changes, build two inventories, assign accountability and record the signature.
8.5OutcomesThe team identifies risk levels and treatment tasks, uses them continuously, and the owner formally accepts the assessment.

9. Evaluation

ClauseRecordThe answer in one line
9.1PurposeClause 9 evaluates the system as a whole for bias through a design and output evaluation and an ongoing evaluation.
9.2.1Evaluation of design and outputs: purposeThe design and output evaluation is part of design and development, and more than one evaluation is permitted as the product matures.
9.2.2Evaluation of design and outputs: inputsThe inputs are the requirements and design documentation, the stakeholder, data and risk sections of the profile, the test data sets and the UI and UX design documentation.
9.2.3Evaluation of design and outputs: outputsThe outputs are an updated profile and an evaluation document with nine required items, from metrics and scenarios to mitigation and optimization results.
9.2.4Evaluation of design and outputs: actionsThe actions examine the records, the data pre-processing, the testing, the mitigation and optimization effects and the UI and UX design.
9.2.4.1Examine the recordsThe evaluation begins by examining the requirements, the data documentation and the design documentation.
9.2.4.2Examine data pre-processingEvery pre-processing step is examined for bias in the method and for bias it adds to the data set, and the effect on outcomes is recorded.
9.2.4.3TestingTesting selects scenarios where bias is a risk, sets granularity, chooses a metric with reference values, records each test and justifies the method and its interpretation.
9.2.4.4End of the evaluationThe end review compares human and system decisions, tests bias added by mitigation and optimization, and checks the UI and UX against every stakeholder attribute.
9.2.5Evaluation of design and outputs: outcomesThe team knows how to evaluate bias in the design and outputs, and the evidence is in the profile and the evaluation document.
9.3.1Ongoing evaluation: purposeOngoing evaluation looks for drift and for changes that affect bias during operation and decommissioning.
9.3.2Ongoing evaluation: inputsThe inputs are the requirements and design documentation, the stakeholder, data and risk sections of the profile, and the records of the design and output evaluation.
9.3.3Ongoing evaluation: outputsThe outputs are an updated profile and an updated evaluation document with the monitoring list, the procedure, the recurrence rationale and the drift plans.
9.3.4.1Set up the ongoing procedureThe procedure lists what to monitor, how each item is evaluated, the rationale for recurrence, a post-mitigation cycle and stakeholder feedback.
9.3.4.2Each iteration of the ongoing evaluationEach iteration checks data drift, concept drift and other drift, records the plan for each and watches for reinforcement of external bias.
9.3.4.3End of each iterationAt the end of each iteration, the team revisits the requirements, stakeholders, data representation, risk assessment and evaluation procedure.
9.3.5Ongoing evaluation: outcomesThe team knows how to run the ongoing evaluation for bias and has the record to show it.
Reading the verbs. Only "shall" creates a requirement. "Should" is a recommendation, "may" is a permission and "can" is a capability. The register keeps the verb visible so a finding and a suggestion are not confused. Clause 1.3.
THE RULES THIS IS BUILT FROM

The rules this is built from

Read from the real rules, not invented. Every clause answer on this site points to the official rule behind it, so you can check any line yourself. The register holds 67 records, 269 evidence lines and 201 common failure lines. The dates come from the ISO record. The substance comes from the published IEEE edition behind the joint project.

61 CLAUSES

One page per clause

The requirement in our words, the evidence an assessor asks for, the common gaps and what to do before publication.

Open the register
6 ANNEXES

Guidance, clearly labelled

Annexes A to F are informative. Each page says so, because a finding cannot rest on guidance alone.

Open the annexes
ONE STAGE RECORD

No invented date

Stage 40.99 is recorded on 16 September 2026. The planning date is an estimate and is labelled wherever it appears.

Read the record

The ISO draft text is not public and is not reproduced. Each record cites the published clause it comes from. Where the public record is silent, the page says so.