{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583891,0.0000647965,0.0001307362,0.00001908677,0.0005512947,0.0002523457,0.00007598045,0.00006637645,0.0001963471],"category_scores_gemma":[0.0003611909,0.0000566573,0.00005792293,0.00005072002,0.0002055022,0.0003814538,0.000009085475,0.00006637219,0.00002146159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004509033,"about_ca_system_score_gemma":0.0002226714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191232,"about_ca_topic_score_gemma":0.01395331,"domain_scores_codex":[0.9993551,0.00003489684,0.00009091041,0.0001307337,0.0001468841,0.0002414515],"domain_scores_gemma":[0.9981556,0.001397678,0.00003384486,0.000101487,0.0002464159,0.00006496221],"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":[0.00002558916,0.00003432046,0.006001323,0.00008487614,0.00003383265,9.52046e-8,0.07692619,0.00003987105,0.00005955518,0.7166409,0.2000708,0.00008265224],"study_design_scores_gemma":[0.001198512,0.0003202191,0.001710596,0.00005669677,0.00005359779,6.026123e-7,0.1193904,0.00009447746,0.0001688686,0.6216761,0.2549008,0.0004292351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1128171,0.000007439738,0.003036086,0.8796718,0.0004293617,0.00121892,0.00006635216,0.00006130925,0.002691646],"genre_scores_gemma":[0.9234335,0.000002819655,0.0006759597,0.0726675,0.000125095,0.0001058796,0.000007051341,0.00001260259,0.002969627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8106164,"threshold_uncertainty_score":0.7786276,"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."}}