{"id":"W4405872702","doi":"10.1007/978-3-031-78531-3_21","title":"Harmonizing AI and Human Values: The Ubuntu Approach to Super Alignment in OpenAI’s Initiatives","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.004403837,0.0003768661,0.0004058911,0.001222882,0.007170137,0.01029038,0.001732345,0.003167633,0.0119119],"category_scores_gemma":[0.005926419,0.0003964363,0.0003664727,0.002446494,0.01046586,0.01424775,0.008838916,0.006105606,0.001795041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004569797,"about_ca_system_score_gemma":0.00411841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003890662,"about_ca_topic_score_gemma":0.01121325,"domain_scores_codex":[0.9958954,0.002841547,0.00006283033,0.0001667163,0.000646504,0.0003869508],"domain_scores_gemma":[0.9982716,0.0008797717,0.00006794349,0.0003407503,0.0002015966,0.0002383221],"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":[0.000006119832,0.00001280906,0.00003567803,0.00001129172,0.000001119622,0.00001516155,0.001744143,0.0001477628,0.0000416457,0.976508,0.004043884,0.01743236],"study_design_scores_gemma":[0.000004195278,0.0000164956,0.0001517829,0.0001204179,0.000002830784,0.00005644015,0.00266062,0.002246103,0.0002974092,0.865744,0.1286872,0.00001242157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01154586,0.002346249,0.09686059,0.01253548,0.0006916033,0.00006716287,0.00002912023,0.0002178507,0.875706],"genre_scores_gemma":[0.6075128,0.002234648,0.1516354,0.004495219,0.0003425397,0.0005651142,0.0001199203,0.0008885579,0.2322058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0119119,"threshold_uncertainty_score":0.03984928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1659812767007454,"score_gpt":0.4078644745748675,"score_spread":0.2418831978741222,"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."}}