{"id":"W4397003507","doi":"10.4018/979-8-3693-2643-5.ch010","title":"Responsible Use of Artificial Intelligence","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in business information systems and analytics book series","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CGI (Canada)","funders":"","keywords":"Applications of artificial intelligence; Engineering ethics; Computer science; Artificial intelligence; Risk analysis (engineering); Knowledge management; Management science; Engineering; Business","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002520576,0.0008845073,0.0004050315,0.001462225,0.002582552,0.007648494,0.0009429056,0.002940204,0.01382774],"category_scores_gemma":[0.004509052,0.0003453643,0.0003458509,0.0009511128,0.01093817,0.007900927,0.002977664,0.004648058,0.005957461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004760551,"about_ca_system_score_gemma":0.005685392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002122092,"about_ca_topic_score_gemma":0.003735211,"domain_scores_codex":[0.9969512,0.001168474,0.00009748695,0.000328808,0.001293786,0.000160238],"domain_scores_gemma":[0.9973372,0.001539882,0.0001105869,0.0003730682,0.0004970639,0.0001422108],"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":[0.000002763298,0.0000103006,0.00003119768,0.00006286894,0.000002650751,0.00002802271,0.0009487775,0.0001575877,0.00008179777,0.9138336,0.06471644,0.02012404],"study_design_scores_gemma":[0.00000190069,0.000004544966,0.00006661731,0.0001986752,0.000002036739,0.00006209825,0.0002544029,0.0002015467,0.0001532633,0.2752765,0.7237728,0.000005631285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005403954,0.01455212,0.008717764,0.0104353,0.001506303,0.00004528714,0.00003922075,0.00009122205,0.9640724],"genre_scores_gemma":[0.05081532,0.01830803,0.008763838,0.008383533,0.001727523,0.0001834587,0.0001088139,0.000232838,0.9114767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9974174,"threshold_uncertainty_score":0.04625839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06184113040126871,"score_gpt":0.3388433568236241,"score_spread":0.2770022264223554,"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."}}