{"id":"W2994948545","doi":"10.1145/3362077.3362086","title":"Considerations for AI fairness for people with disabilities","year":2019,"lang":"en","type":"article","venue":"AI Matters","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Redress; Harm; Context (archaeology); Psychology; Inclusion (mineral); Computer science; Social psychology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08704437,0.0005274173,0.0008513056,0.001614475,0.01483793,0.01648969,0.002691463,0.00895245,0.009293363],"category_scores_gemma":[0.163349,0.0004287082,0.0011622,0.0009679644,0.03179637,0.02045274,0.01457828,0.01035677,0.001801549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004685868,"about_ca_system_score_gemma":0.01463789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005168251,"about_ca_topic_score_gemma":0.005084466,"domain_scores_codex":[0.9036897,0.07140803,0.003135076,0.003305604,0.01332323,0.005138399],"domain_scores_gemma":[0.8864266,0.07211429,0.005151388,0.009804767,0.01601618,0.01048682],"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":[0.00008397693,0.0001118356,0.006254089,0.0002595308,0.00004127862,0.0006715166,0.1379113,0.0007929823,0.0006984173,0.7219905,0.03180179,0.09938283],"study_design_scores_gemma":[0.0000340305,0.0001087234,0.001912519,0.0009760503,0.00002863456,0.001021972,0.06257594,0.0008469948,0.000579327,0.6256464,0.3061849,0.00008441197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04381517,0.005964841,0.0526031,0.7146556,0.002273964,0.0001906897,0.00005908723,0.000192476,0.1802451],"genre_scores_gemma":[0.8116769,0.003623359,0.04436665,0.1132677,0.001698886,0.0005804071,0.00006021616,0.0002231178,0.02450278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08704437,"threshold_uncertainty_score":0.4603401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872063422845714,"score_gpt":0.3576612359138521,"score_spread":0.318940601685395,"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."}}