{"id":"W3133752603","doi":"10.1145/3442188.3445939","title":"The Ethics of Emotion in Artificial Intelligence Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computer science; Human intelligence; Taxonomy (biology); Artificial intelligence; Data science; Proxy (statistics); Cognitive science; Psychology; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004014261,0.0000312222,0.00007355306,0.0000159641,0.0004505075,0.0001525242,0.0001287722,0.0001712001,0.00002917915],"category_scores_gemma":[0.005284549,0.00002371322,0.00003108955,0.0003063504,0.0003077142,0.000102347,0.00002339802,0.0003360326,0.000008179197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004181871,"about_ca_system_score_gemma":0.0005860838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01005379,"about_ca_topic_score_gemma":0.05565223,"domain_scores_codex":[0.9986606,0.0005479062,0.0002043937,0.00007352902,0.0003621545,0.0001514274],"domain_scores_gemma":[0.9981509,0.001214972,0.00005279201,0.00008942303,0.000454443,0.00003750001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001353858,0.00001689953,0.0001374302,0.000005280342,0.000002311012,0.000001321546,0.02613438,0.00003829545,0.00008607288,0.969488,0.00004348981,0.004045128],"study_design_scores_gemma":[0.00002254004,0.00002535528,0.0008185094,0.00007408109,0.000004685781,3.198338e-7,0.3396051,0.0005187441,0.002150707,0.6430176,0.01365373,0.0001086751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.196564,0.001277438,0.007526393,0.2783992,0.003471221,0.0004241253,0.00000451965,0.00006831276,0.5122647],"genre_scores_gemma":[0.997506,0.000909154,0.00006103247,0.0001565711,0.0001181186,0.000001326008,4.321221e-7,0.000002281027,0.001245036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.800942,"threshold_uncertainty_score":0.9965383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2018845757737116,"score_gpt":0.4505288765141603,"score_spread":0.2486443007404488,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}