{"id":"W4396832413","doi":"10.1145/3613904.3642501","title":"Towards a Non-Ideal Methodological Framework for Responsible ML","year":2024,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ideal (ethics); Idealization; Imperfect; Computer science; Process (computing); Management science; Workflow; Through-the-lens metering; Engineering ethics; Knowledge management; Data science; Epistemology; Lens (geology); Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2987878,0.001394473,0.001713581,0.009215437,0.01131259,0.0246959,0.007880121,0.008260852,0.003336146],"category_scores_gemma":[0.2017088,0.001550304,0.002028105,0.004816927,0.09070038,0.03016092,0.02073442,0.01412599,0.001180833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01990977,"about_ca_system_score_gemma":0.03315865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620237,"about_ca_topic_score_gemma":0.003412511,"domain_scores_codex":[0.6632171,0.2924008,0.01132574,0.01197712,0.01733481,0.003744509],"domain_scores_gemma":[0.6645282,0.2395283,0.02027743,0.04007346,0.02980919,0.005783455],"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":[0.00001304327,0.00003197452,0.0005126858,0.0001359153,0.00001043141,0.00004728448,0.0189252,0.0006740512,0.0001312615,0.9743298,0.0005350005,0.004653496],"study_design_scores_gemma":[0.00002527736,0.0000217371,0.0001421002,0.0003750062,0.000009031841,0.00005563812,0.008354072,0.003722133,0.0003416197,0.9691653,0.01776648,0.00002167509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01050611,0.0007323292,0.9176542,0.04662142,0.0002862113,0.0005844816,0.00005631837,0.0001623572,0.0233966],"genre_scores_gemma":[0.3615799,0.0005574466,0.6274907,0.00421212,0.000225031,0.002360122,0.000100104,0.0002097724,0.003264799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2987878,"threshold_uncertainty_score":0.8647195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3276323787169298,"score_gpt":0.5520729413457861,"score_spread":0.2244405626288563,"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."}}