Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates and primary reference.
A strong opinion about lobbying is not evidence about what a law requires. I want to keep those two things separate, especially when a product team needs a decision it can defend.
Separate the policy argument from the product requirement
A policy argument can ask whether an extension serves the public interest. A product requirement must say what the system will do. Both discussions matter, but they use different evidence and have different outputs.
For an illustrative review, put the source text, the interpretation and the product response in separate fields. If the team believes a change weakens protection, explain the mechanism rather than assigning motives to everyone involved. That makes disagreement more useful.
The operational response may be to retain a control voluntarily, revise it or ask for legal clarification. Record why. A political headline should not silently disable a test, and criticism of a policy should not be presented as a binding obligation.
This separation also improves communication with customers. Tell them which behaviour has been demonstrated and which compliance question remains open. Strong language cannot compensate for an unclear evidence boundary.
| Decision | Evidence to request |
|---|---|
| Policy position | Argument and supporting evidence |
| Legal interpretation | Source text and qualified assessment |
| Product commitment | Specific behaviour and test |
What to do with this
Be opinionated about the trade-off and precise about the facts. The useful result is a requirement someone can implement, not a louder version of the original headline.
Record the decision, the responsible owner and the evidence still missing. The decision-record example shows a lightweight way to do that. Where a claim concerns system behaviour, connect it to evaluation evidence. These are proposed product practices, not a finding that a system complies with the law.
Primary timeline reference: European Commission, AI Act. The operational recommendations above are my analysis.
