{"id":"W4321276891","doi":"10.1145/3544549.3583178","title":"Human-Centered Responsible Artificial Intelligence: Current & Future Trends","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada); Nokia (Canada); Bell (Canada)","funders":"","keywords":"Terminology; Humanity; Engineering ethics; Work (physics); Computer science; Research ethics; Data science; Knowledge management; Management science; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.01827021,0.0005219586,0.001025476,0.00286727,0.002297147,0.01268599,0.002365521,0.007797916,0.01362903],"category_scores_gemma":[0.01400435,0.0004415266,0.0006639209,0.005594064,0.01069366,0.02495401,0.00456986,0.007518914,0.003238756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005576556,"about_ca_system_score_gemma":0.008796833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002312139,"about_ca_topic_score_gemma":0.003233921,"domain_scores_codex":[0.9942274,0.002670601,0.0002871738,0.0008610237,0.001464024,0.0004897588],"domain_scores_gemma":[0.9459688,0.0378053,0.002188232,0.001942202,0.007647921,0.004447497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001697643,0.0003950514,0.002945462,0.005138391,0.00004761175,0.0001294212,0.002580101,0.0008016933,0.0005009778,0.3410608,0.05896694,0.5872638],"study_design_scores_gemma":[0.00004153786,0.0001930332,0.002302147,0.006209097,0.00004018653,0.0003541753,0.01096456,0.00252234,0.0005582828,0.3708408,0.6058925,0.00008133106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003816422,0.6965435,0.009819428,0.2537733,0.002480513,0.00004366137,0.0001025738,0.0002285392,0.03319201],"genre_scores_gemma":[0.1045959,0.8244205,0.02348136,0.02926173,0.009551759,0.0002061547,0.0003120149,0.0001528515,0.008017635],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01827021,"threshold_uncertainty_score":0.09662324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3858546014069423,"score_gpt":0.5136275810570362,"score_spread":0.1277729796500939,"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."}}