{"id":"W3151986352","doi":"10.1093/idpl/ipab010","title":"Do AI-based anti-money laundering (AML) systems violate European fundamental rights?","year":2021,"lang":"en","type":"article","venue":"International Data Privacy Law","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Political science; Computer science; Law and economics; Law; Sociology","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":[0.0005598731,0.000148095,0.0001685384,0.00004103754,0.0004785719,0.0008806847,0.001510176,0.00004921943,0.0004711452],"category_scores_gemma":[0.0001743321,0.0001533148,0.00006161479,0.0001253693,0.0002093401,0.001280909,0.0006273578,0.0001889893,0.0002056464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395937,"about_ca_system_score_gemma":0.0001587118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127978,"about_ca_topic_score_gemma":0.003134143,"domain_scores_codex":[0.9978859,0.0002465683,0.0002914574,0.0005052153,0.0007788796,0.0002920103],"domain_scores_gemma":[0.9987192,0.0001538315,0.0001608915,0.0007023907,0.0001499063,0.00011379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006670854,0.0005753773,0.008538084,0.00006107822,0.0003570076,0.0006919508,0.006340846,0.0003992456,0.004154073,0.9397137,0.03685568,0.00224624],"study_design_scores_gemma":[0.0004085832,0.000008291428,0.001863508,0.0001257261,0.00001441793,0.000009517697,0.0006595214,0.001078186,0.0005887693,0.0007392999,0.9942795,0.0002246499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4442397,0.0009511696,0.004886767,0.005925431,0.008749638,0.0004139095,0.003389277,0.0003549129,0.5310892],"genre_scores_gemma":[0.995124,0.00008036975,0.0002353032,0.0007568022,0.0009052283,0.000004123846,0.0007371071,0.00002106395,0.002135989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9574239,"threshold_uncertainty_score":0.9937761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06972215121529221,"score_gpt":0.3459239788464464,"score_spread":0.2762018276311542,"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."}}