IEEE 7001-2021 (transparency)

Informational data, not legal advice. Summaries are TwinEthos's own words and rules have not been reviewed by a lawyer: check the official text before relying on any of it. A guard addresses an item; adding it is not a statement that your code meets any law.

Official text: ieeexplore.ieee.org.

Standard / soft law

Autonomous systems should meet measurable, testable transparency levels per stakeholder group (IEEE 7001)

IEEE Std 7001-2021 (measurable transparency levels per stakeholder group) · official text · Soft law or guidance (not binding law)

IEEE Std 7001-2021 is the umbrella standard for transparency of autonomous systems. In our own words (from the PUBLIC abstract/scope): it defines measurable, testable LEVELS of transparency so autonomous systems can be objectively assessed and levels of compliance determined. It does not tell a designer how to build transparency; it defines testable levels and the requirements to satisfy each, across five stakeholder groups — users, the general public and bystanders, safety-certification agencies, incident/accident investigators, and lawyers/expert witnesses. Its core premise: transparency cannot be assumed; many well-designed systems are not transparent, so it must be deliberately designed in, and methods are needed to test, measure, and compare it. Intended as an umbrella from which domain-specific variants (7001.1, 7001.2 …) develop. Detect an autonomous/AI system with no specified, testable transparency provision for its affected stakeholder groups (especially post-incident investigability). [TIER C: own-words summary of PUBLIC scope; licensed normative text not stored — available free via the IEEE GET program.]

Who it applies to

Duty falls on: developer, deployer
Systems covered: automated decision
Designers/operators of autonomous and intelligent systems (robots and AI). Voluntary standard; not certifiable as an organizational certification. Umbrella standard for domain-specific transparency variants.
Whether it applies depends on facts outside the code; a person has to decide.

The guard to add

Specify a testable transparency target for each stakeholder group and build in an action log that lets investigators reconstruct what the system did.

A transparency specification kept with the system (for example docs/transparency-spec.yaml) that names each affected stakeholder group (users, bystanders and the public, safety certifiers, incident investigators, lawyers and expert witnesses), states what each group can learn about the system and through which channel, and sets a target the team can test. Transparency is built into the runtime rather than assumed: the agent or decision loop writes an append-only record of each observation, model version, output, and action with its rationale, so an incident can be reconstructed after the fact, and user-facing explanations are produced from that same record. Tests in CI assert that every action path writes the record and that each stakeholder's explanation can be generated.

Where it goes: 12 repository artifacts, 10 logs and telemetry, 9 AI output handling, 13 tests and evals.

Example (Python agent loop), before:

def act(step):
    return TOOLS[step.name](**step.args)

After:

def act(step, run_id):
    result = TOOLS[step.name](**step.args)
    flight_recorder.append({          # append-only, kept for incident investigation
        'run_id': run_id, 'ts': time.time(), 'model': MODEL_VERSION,
        'observation': step.observation, 'tool': step.name, 'args': step.args,
        'rationale': step.rationale, 'result': summarize(result)})
    return result

Control: Autonomous system without designed, testable transparency for affected stakeholders. The same guard addresses 1 item. Engineering guidance, not legal advice.

Rule id ieee-7001.stakeholder-transparency-levels · review status: tier c citation only