{"id":"W4312532425","doi":"10.1109/hri53351.2022.9889455","title":"Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community","year":2022,"lang":"en","type":"article","venue":"2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inclusion (mineral); Diversity (politics); Injustice; Context (archaeology); Equity (law); Computer science; Artificial intelligence; Engineering ethics; Sociology; Data science; Psychology; Political science; Social psychology; Social science; Engineering; Geography; Law","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005351419,0.0001972234,0.0002615054,0.0003094079,0.005022414,0.0003887443,0.001164894,0.0001342241,0.00166158],"category_scores_gemma":[0.001740827,0.0002345239,0.00005943394,0.0002878963,0.0003570149,0.0007495024,0.003341836,0.001910947,0.000010899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008866612,"about_ca_system_score_gemma":0.0002495123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176874,"about_ca_topic_score_gemma":0.01278694,"domain_scores_codex":[0.9952023,0.002851942,0.0003793014,0.0003894452,0.0008812618,0.0002957279],"domain_scores_gemma":[0.9969884,0.00153227,0.0003527811,0.0003104407,0.0006425539,0.0001736081],"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":[0.0006121392,0.002459248,0.007673992,0.0000480342,0.000300094,0.00002677777,0.2406305,0.0006538015,0.007724273,0.6861275,0.00946012,0.04428346],"study_design_scores_gemma":[0.002372708,0.001138025,0.02551336,0.0001454557,0.00007932774,0.00001965606,0.2252129,0.005574704,0.001190054,0.7079676,0.02951065,0.001275571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7305502,0.0001313255,0.01722039,0.08432201,0.004526963,0.002318431,0.0002326598,0.0002930181,0.160405],"genre_scores_gemma":[0.9952146,0.0001784151,0.0008810735,0.002611079,0.0001527348,0.0001020724,0.0000522434,0.00001372756,0.0007940066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2646644,"threshold_uncertainty_score":0.999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5092625834711866,"score_gpt":0.5773186546615521,"score_spread":0.0680560711903655,"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."}}