Rule set sha256:026d59ecf618

EU_AI_ACT_ART5_EMOTION_RECOGNITION_001

One rule of the rule set with digest 026d59ecf6186f63d5f16b503c9429b896cee28ca509559704824e11f4530007. An audit record that names this digest and this rule was decided by the rule as shown here. Every rule in this set.

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