Open question: how do you evidence a safety case for a controller that was learned rather than specified?
Machinery functional safety asks for a specified function with a quantified failure rate, which a learned policy does not provide. SOTIF supplies a vocabulary for insufficiency, UL 4600 supplies the shape of a safety case, and no published standard tells a robot maker what evidence is enough for a learned controller in a workplace.
The verdict
Open question
No settled answer exists. The ledger poses the question, links the live debate, and does not answer it.
Key facts
What the sources say
- Record ID
- PAG-2026-0032
- Kind
- Open question
- Jurisdiction
- Global
- Last verified
- Added
- ISO 13849-1 and IEC 62061 assume a specified safety function with quantifiable reliability in high or continuous demand mode.
- ISO 21448 addresses functional insufficiencies without failure, and is written for road vehicles.
- UL 4600 requires a structured safety case for autonomous products and leaves the sufficiency of evidence to argument.
- The ISO robotics committee's relevant project for dynamically stable mobile robots is still a committee draft.
What it changes
For a robot maker or a deployer
Split the machine: a deterministic, rated safety channel you can certify, and a learned layer that can only propose within limits that channel enforces. Then write the safety case in the UL 4600 shape and the insufficiency analysis in the SOTIF vocabulary. That combination is the strongest evidence available today, and it is an argument, not a certificate.
Sources
What this record was verified against
- ISO, ISO 13849-1:2023 Safety related parts of control systemsPrimary · 1 April 2023
- ISO, ISO 21448:2022 Safety of the intended functionalityPrimary · 1 June 2022
- UL Standards and Engagement, UL 4600 Standard for Evaluation of Autonomous ProductsPrimary · 17 March 2023
Related
Records that sit beside this one
Two functional safety standards decide whether a robot's stop is trustworthy, and both predate learned control
Global · verified 15 September 2026
ISO 13849-1:2023 is edition 4, published 2023-04, 152 pages, from ISO technical committee 199, and covers the design and integration of safety related parts of control systems including software.
The standard for harm with no broken part is SOTIF, written for road vehicles and borrowed by everyone else
Global · verified 15 September 2026
ISO 21448:2022 is edition 1, published 2022-06, 181 pages, from ISO technical committee 22, and ISO marks it at stage 90.92, to be revised.
UL 4600 is the one published standard that asks an autonomous product for a safety case
Global · verified 15 September 2026
The UL Standards catalogue lists UL 4600, Standard for Evaluation of Autonomous Products, as active, edition 3, with a published date of 17 March 2023 and ANSI approval the same day.
Open question: who is liable when a behaviour the robot learned causes the harm?
Global · verified 15 September 2026
The AI Liability Directive proposal, which would have eased proof for exactly this case, was withdrawn and published as withdrawn in the Official Journal on 6 October 2025.
No published safety standard covers a legged humanoid, and the one that would is still a committee draft
Global · verified 15 September 2026
The ISO TC 299 catalogue lists ISO/CD 25785-1, Robotics, Safety requirements for dynamically stable industrial mobile robots, Part 1: Robots, at stage 30.60.
The AI management system standard is the one certificate a robot maker can actually hold today
Global · verified 15 September 2026
ISO/IEC 42001:2023 is edition 1, published 2023-12, 51 pages, at stage 60.60, from ISO and IEC joint technical committee 1 subcommittee 42.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID PAG-2026-0032 is permanent and is never reused.
- In a sentence
- According to the GAGE Physical AI Governance Atlas (as of 15 September 2026), open question: how do you evidence a safety case for a controller that was learned rather than specified?.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). Open question: how do you evidence a safety case for a controller that was learned rather than specified?. Physical AI Governance Atlas. Retrieved 15 September 2026, from https://www.gage.academy/tools/physical-ai-governance-atlas/records/PAG-2026-0032-question-safety-case-for-a-learned-controller
- MLA
- "Open question: how do you evidence a safety case for a controller that was learned rather than specified?." Physical AI Governance Atlas, GAGE (Global Academy of Generative-AI Education), 15 September 2026, https://www.gage.academy/tools/physical-ai-governance-atlas/records/PAG-2026-0032-question-safety-case-for-a-learned-controller.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "Open question: how do you evidence a safety case for a controller that was learned rather than specified?." Physical AI Governance Atlas. Last modified 15 September 2026. https://www.gage.academy/tools/physical-ai-governance-atlas/records/PAG-2026-0032-question-safety-case-for-a-learned-controller.
- Permalink
- https://www.gage.academy/tools/physical-ai-governance-atlas/records/PAG-2026-0032-question-safety-case-for-a-learned-controller
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