Emotion-recognition AI sits across three distinct EU AI Act pathways: prohibited practices, high-risk classification, and transparency. In workplaces and education institutions, emotion inference is generally prohibited unless the system is intended for medical or safety reasons. In other contexts, high-risk and Article 50 duties can still apply.
Article 5 prohibits emotion inference in workplaces and education institutions except for medical or safety reasons. Article 50 requires deployers of emotion-recognition systems to inform people exposed to their operation, and the Commission confirms those transparency obligations have applied since 2 August 2026.
Start with the actual system, role, use case and evidence boundary. The same regulation can produce different obligations for different actors and systems.
Article 5 prohibits placing on the market, putting into service for that purpose, or using AI systems to infer emotions of natural persons in workplaces and education institutions, except where the system is intended for medical or safety reasons.
An exception should be treated as an evidence claim, not a label. Preserve the intended purpose, deployment context, responsible operator, medical or safety rationale, scope boundaries, approvals and evidence showing that the system is not being repurposed beyond the exception.
Where emotion-recognition use is not prohibited, Annex III can place specified emotion-recognition systems on a high-risk route. The exact function, context and applicable exclusions still need to be classified.
Article 50 requires deployers of emotion-recognition systems to inform natural persons exposed to the operation of the system, subject to the Regulation’s stated exceptions. These transparency duties apply from 2 August 2026.
The goal is not merely to reach an answer. It is to preserve what facts, evidence, scope and limitations supported that answer at that time.
Before asking how to comply, determine whether the intended use is barred under Article 5. Workplace and education emotion inference should not be treated as merely another high-risk deployment unless a valid medical or safety exception applies.
Define whether the system infers emotion from biometric data, who provides and deploys it, the intended purpose, whether Annex III high-risk classification applies, and what other sector-specific rules govern the deployment.
Preserve the system version, affected population, disclosure method, intended purpose, exception basis, human oversight, logs, performance limits, data inputs, complaints or challenges, and the evidence supporting continued use.
A move into a school or workplace, a new emotion category, changed sensor modality, model update, new safety rationale, removed disclosure, or broader decision use can materially change the legal route and evidence state.
Choose the smallest operating tier that fits the portfolio today. Upgrade when system count, team size or governance scope actually requires it.
Keep a living system-level evidence record with obligations, gaps, versions and revalidation state.
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Not in every context. Article 5 prohibits AI used to infer emotions of natural persons in workplaces and education institutions, except where the system is intended for medical or safety reasons. Other emotion-recognition uses may instead fall under high-risk or transparency obligations.
Article 5 prohibits that practice in the workplace, subject to the Regulation’s medical or safety exception. A general productivity, engagement, hiring or performance-management purpose should not be treated as falling within that exception without a supportable legal basis.
Article 5 also prohibits emotion inference in education institutions, again subject to the medical or safety exception. Separate education AI uses such as admissions, assessment or exam monitoring can raise different Annex III questions.
Article 50 requires deployers of emotion-recognition systems to inform natural persons exposed to the operation of those systems, subject to the Regulation’s stated exceptions. The Commission’s current transparency guidance confirms that these obligations apply from 2 August 2026.
Preserve the precise intended purpose, safety or medical rationale, deployment setting, responsible authority, approvals, affected population, system version, scope limits, oversight, data and sensor sources, performance evidence, disclosures, changes, and the basis for continued reliance on the exception.
No. TA-14 can preserve the classification basis, exception claim, disclosure evidence, scope, gaps, review history and revalidation state. It does not provide legal advice, certification, conformity assessment or regulatory approval.
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