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Switzerland FADP (SR 235.1), Art. 21

Federal Data Protection and Information Commissioner (FDPIC/EDÖB); cantonal criminal authorities for fines · CH · 1 provision encoded · verified against the official source as of 2026-10-02.

Informational data, not legal advice. Summaries and rules have not been reviewed by a lawyer: always verify official law text for decisions. A suggested guard is intended to address each rule; adding it is not a statement of compliance to that law.

AI-adjacent law General privacy or biometric law, included only where AI data flows trigger it; reported apart from AI-specific law.

Official text: www.fedlex.admin.ch.

Trust and provenance 2 official sources · last verified 3 Oct 2026 · not reviewed by a lawyer · 1 of 1 provision audit-grade · release 2026.10.03.3

Where this instrument's data comes from, how current it is, and what has and has not been checked. Each provision below has its own panel.

Official sources
Lanes
Binding law — in force 1
Verification
Sources last verified 3 Oct 2026; each provision states how.
Data release
Data release 2026.10.03.3, data as of 3 Oct 2026, schema 0.3.9.
Legal review
None of the 1 provision has been reviewed by a lawyer; no TwinEthos rule has been legally reviewed yet. Treat each as research to check against the official text; it is not legal advice. Open questions for counsel on them: 1.
Audit standard
1 of 1 provision audit-grade. The audit standard is TwinEthos's own quality bar for provenance, dates, applicability, detectors, fixtures, remediation and licences; it is not a legal review.
Detectors
1 detector, all experimental: written from the rule's text and not yet measured for precision on real code, so treat a hit as a lead to verify. Each provision lists its detectors' known limits.
Changes
  • 2026.10.03.3 (3 Oct 2026): 1 provision added

Each data release records which provisions changed; the full list is on Changes.

Binding law — in force AI-adjacent law

Inform people of solely automated decisions and, on request, hear their view and have a natural person review the decision (Switzerland, FADP Art. 21)

DSG Art. 21(1)-(3) (duty to inform of an automated individual decision; view and human review; exceptions) · official text · In force: applies since 1 Sep 2023 · CH

Under Switzerland's Federal Act on Data Protection (FADP/DSG, SR 235.1) Art. 21, a controller must inform the data subject of any decision based exclusively on automated processing that has a legal consequence for them or significantly affects them (an automated individual decision); on request it must let them state their point of view, and they may require the decision to be reviewed by a natural person. This does not apply where the decision is directly connected with concluding or performing a contract and the request is granted, or where the person expressly consented to the automated decision. A private person who wilfully fails to inform is liable to a fine of up to CHF 250,000 (Art. 60). Detect a model-driven adverse decision with no automated-decision notice or no human-review route.

Trust and provenance not reviewed by a lawyer · audit-grade · source verified 3 Oct 2026 · release 2026.10.03.3
Lane
Binding law — in force In force: applies since 1 Sep 2023
Official source
DSG Art. 21(1)-(3) (duty to inform of an automated individual decision; view and human review; exceptions) · captured 2 Oct 2026 · anchor hash (SHA-256) 4e3500ecc7e2… · 5 more anchors in the data release
Verification
Quoted text found word for word in the captured official document (3 Oct 2026). Source last verified 3 Oct 2026: checked against the captured official document; not in the weekly watcher's list; checked against the captured document.
Data release
Data release 2026.10.03.3, data as of 3 Oct 2026, schema 0.3.9.
Legal review
Not reviewed by a lawyer. TwinEthos derived this rule from the official text it cites: treat it as research to check against that text; it is not legal advice. No TwinEthos rule has been legally reviewed yet. Open questions for counsel on this rule: 1.
Audit standard
Audit-grade: meets all 10 checks of the TwinEthos audit standard that apply to it. The audit standard is TwinEthos's own quality bar for provenance, dates, applicability, detectors, fixtures, remediation and licences; it is not a legal review.
Detectors

1 detector (code pattern), experimental: written from the rule's text and not yet measured for precision on real code, so treat a hit as a lead to verify.

Known limits:

  • Adverse outcomes as numeric codes
  • Decision set in a different file from the model call
  • The notice and review route may live in a letters or portal module; follow the decision path before reporting.

Who it applies to

  • Duty falls on: controller
  • Systems covered: automated decision
  • Private controllers (and federal bodies) whose decisions based exclusively on automated processing of personal data have a legal consequence for, or significantly affect, people, where the facts have effects in Switzerland (Art. 3(1)): inform them of the automated individual decision; on request let them state their view and have a natural person review it; contract (request granted) and express-consent exceptions. In force since 2023-09-01. The English text is not official; the German (or French or Italian) text governs. What 'erheblich beeinträchtigt' covers and whether an AI-assisted decision with nominal human sign-off is 'ausschliesslich automatisiert' are questions for counsel (review flag).
  • Not covered:
    • A decision directly connected with concluding or performing a contract with the data subject where their request is granted (Art. 21(3)(a))
    • The data subject expressly consented to the decision being automated (Art. 21(3)(b))
    • Personal data processed by a natural person exclusively for personal use (Art. 2(2)(a))
    • Processing by the Federal Assembly and parliamentary committees, and by institutional beneficiaries with immunity (Art. 2(2)(b)-(c), read, not stored)
  • Whether it applies depends on facts outside the code; a person has to decide.

The guard to add

Route significant automated decisions through meaningful human review, or wire in an automated-decision notice, reasons, human intervention, a way to give a view, and contest.

At the point where model output becomes a significant decision about a person (approve, deny, underwrite, set_status), either queue the case for a reviewer who weighs the evidence and can change the outcome before it takes effect (review_queue.enqueue, requires_human_review), or, where the decision stays solely automated, record the permitted basis for that decision type and wire the safeguards in. Those safeguards are a notice in the decision message that it was made by automated processing, reasons the person can read, and request_human_review or contest routes where the person can give their view and have a human reconsider. A reviewer who approves every case without examining it does not make the decision non-automated, so the review records reviewer identity, the evidence viewed, and the outcome.

Where it goes: 1 application source code, 9 AI output handling, 15 agent action surface, 14 user-facing text.

What this provision adds:

  • Inform the person that the decision is an automated individual decision when it is communicated.
  • On request, let the person state their point of view and have a natural person review the decision.

Example (Python + OpenAI SDK), before:

verdict = client.chat.completions.create(model=MODEL, messages=msgs).choices[0].message.content
if verdict.strip() == 'deny':
    deny(applicant)
    send_decision_email(applicant, 'Your application was not approved.')

After:

out = client.chat.completions.create(model=MODEL, messages=msgs,
                                     response_format={'type': 'json_object'})
result = json.loads(out.choices[0].message.content)
if result['decision'] == 'deny':
    if requires_human_review('credit'):                 # a person decides
        review_queue.enqueue(applicant.id, proposal=result)
    else:                                               # solely automated, recorded basis
        deny(applicant, basis=DECISION_BASIS['credit'], reasons=result['reasons'])
        send_decision_email(applicant, render('adm_denial.txt', notice=ADM_NOTICE,
            reasons=result['reasons'], contest_url=f'{BASE}/decisions/{applicant.id}/contest'))

Control: Solely-automated significant decision without human-intervention safeguards. The same guard addresses 15 items with binding law in 15 jurisdictions. Engineering guidance, not legal advice.

Related incidents

No guardrail sits on this exact control; these incidents are cited by guardrails on related controls.

Rule id ch-fadp.automated-individual-decision-information-and-review · review status: primary source derived

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.