{"id":"W4416078419","doi":"10.1109/mra.2025.3620148","title":"A Road Map for Responsible Robotics: Promoting Human Agency and Collaborative Efforts","year":2025,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Universidade do Minho; Universität Bremen; Göteborgs Universitet; Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie; University of Leeds; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Queensland University of Technology; University of Oxford; Agencia Estatal de Investigación; Universidad de León; KU Leuven; Chalmers Tekniska Högskola; European Regional Development Fund; Universiteit Utrecht; Royal Academy of Engineering; McGill University","keywords":"Road map; Agency (philosophy); Civil society; Robotics; Foundation (evidence); Cognitive map; Human–robot interaction; Robot","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.05063784,0.002018536,0.001389743,0.005829428,0.01756599,0.03132918,0.003467748,0.02013789,0.01387181],"category_scores_gemma":[0.03560077,0.001415975,0.001395347,0.002836222,0.06975149,0.04670404,0.03032876,0.01598887,0.004101542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637751,"about_ca_system_score_gemma":0.05033837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0057837,"about_ca_topic_score_gemma":0.005622273,"domain_scores_codex":[0.9549384,0.02677359,0.001549915,0.003409078,0.007918286,0.005410756],"domain_scores_gemma":[0.9545419,0.02056047,0.002921495,0.004302311,0.007739357,0.009934513],"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":[0.00002895713,0.00008422767,0.0004250571,0.0002830702,0.00001607469,0.0001504346,0.005849337,0.0008932606,0.0001765803,0.9398178,0.02423786,0.02803724],"study_design_scores_gemma":[0.00002377736,0.00006226145,0.0004944268,0.0004684544,0.000007614633,0.0001334029,0.008178991,0.0008520367,0.0001889923,0.7743481,0.2151936,0.00004823379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01106207,0.01440291,0.1487736,0.6077307,0.003778725,0.0006501141,0.0001510467,0.000855661,0.2125952],"genre_scores_gemma":[0.8004656,0.01418966,0.1075939,0.04335156,0.002029789,0.002091773,0.0003805156,0.0006352208,0.02926192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.982434,"threshold_uncertainty_score":0.2678017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924967388775467,"score_gpt":0.3748863559166208,"score_spread":0.3456366820288662,"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."}}