Rule set sha256:274f72f3b49b

EU_AI_ACT_ART5_EMOTION_RECOGNITION_001

One rule of the rule set with digest 274f72f3b49ba2594098351e9f3268903df77a0bd87d5e528f0aa77492d45d25. An audit record that names this digest and this rule was decided by the rule as shown here. Every rule in this set.

RuleEU_AI_ACT_ART5_EMOTION_RECOGNITION_001
Rule version4eec763231cafa2b321d452d35b6bf855d05bb84523139b4e7ad9ff24517ca1f
ProvisionRegulation (EU) 2024/1689, Article 5(1)(f)
ELI: http://data.europa.eu/eli/reg/2024/1689/art_5/par_1/pnt_f/oj
ApprovalApproved
Approved by Leo Celis (via agent review per §5.1 amendment v1.1) on 2026-10-22

rules/regulations/eu/eu_ai_act_article5_emotion_recognition.yaml

Citation
Regulation (EU) 2024/1689, Article 5(1)(f): The placing on the market, the putting into service for this specific purpose, or the use of AI systems to infer emotions of a natural person in the areas of workplace and education institutions, except where the use of the AI system is intended to be put in place or into the market for medical or safety reasons.
Condition
Prohibits the use of AI systems to infer emotions of a natural person in the areas of workplace and educational institutions. Article 5(1)(f) of the EU AI Act. Narrow medical and safety exceptions apply.
Layer 1 detects
"emotion" followed by "recognition", "detect", "infer", "classif" or "analys" (with a space, a hyphen or nothing between, and longer forms such as "detection"); "sentiment of" or "sentiment in" followed by "employee", "student", "worker", "pupil" or "staff"; "track", "detect", "monitor", "score", "analys" or "measur" (and longer forms) followed by "employee", "student", "worker", "staff" or "pupil" (optionally with "s", "s'" or "'s"), then "emotion", "mood", "engagement", "attentiveness", "stress" or "fatigue"; "employee", "student", "worker", "staff" or "pupil" (optionally with "s", "s'" or "'s") followed by "emotion", "mood", "engagement", "attentiveness", "stress" or "fatigue", then "monitor", "detect", "track", "score" or "analys"; "workplace emotion" or "classroom emotion"; "engagement recognition" or "engagement detection" followed by "in" or "for" and then "students", "employees", "classroom" or "workplace"; and "mood monitor" or "mood monitoring" followed by "at work", "in classroom", "in the classroom", "for students" or "for employees". Case is ignored, the words must follow each other with no other word between them unless stated, and a phrase can start inside a longer word. It matches wording, not meaning: it misses the practice told in other words, every "emotion recognition" fires whatever the setting, and it does not read the medical and safety exception the description names: "The hospital uses emotion recognition to monitor patients' distress for medical reasons." fires. Whether a text does the practice is judged in Layer 2.
Condition type
regex; semantic condition in the file, not run by the engine
Status in the file
approved