{"id":"W4386895542","doi":"10.31219/osf.io/sj2z5","title":"Montreal Declaration for Responsible AI: 10 Principles and 59 Recommendations","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Declaration; Dignity; Autonomy; Political science; Democracy; Environmental ethics; Engineering ethics; Sociology; Law; Public administration; Engineering; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002500492,0.0001267564,0.0001990643,0.0001158073,0.001127199,0.0006540231,0.0001971835,0.0005637581,0.0001643169],"category_scores_gemma":[0.00359527,0.0001294069,0.00009086912,0.0001172315,0.000175565,0.0002362232,0.0002383118,0.0003662713,0.00002439976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121488,"about_ca_system_score_gemma":0.001234124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01773152,"about_ca_topic_score_gemma":0.2304877,"domain_scores_codex":[0.9986789,0.0002238658,0.0002527635,0.0003193422,0.0002498337,0.0002752507],"domain_scores_gemma":[0.9979246,0.001103363,0.0001315259,0.0001839827,0.0005077125,0.0001488614],"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":[0.00006044337,0.00005288584,0.0003398944,0.00007130838,0.00008531508,0.000001078291,0.02874385,0.00009131293,0.000026392,0.8362899,0.1257015,0.008536128],"study_design_scores_gemma":[0.0001985171,0.00004808423,0.002745705,0.00007055041,0.00004202031,7.156904e-8,0.004853445,0.000687408,0.0000406079,0.6597713,0.3312826,0.0002596216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01776792,0.0001770033,0.006061981,0.7439646,0.002062767,0.002499575,0.0003810051,0.0006860253,0.2263992],"genre_scores_gemma":[0.269168,0.00861004,0.03248356,0.004452351,0.002790395,0.0007254711,0.0009884657,0.0001292913,0.6806525],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7395122,"threshold_uncertainty_score":0.9888095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3255834862829413,"score_gpt":0.4708003566249032,"score_spread":0.1452168703419618,"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."}}