{"id":"W4410258468","doi":"10.1016/j.procs.2025.04.586","title":"Balancing Innovation, Responsibility, and Ethical Consideration in AI Adoption","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hog Administrative Marketing Services (Canada); University Canada West","funders":"","keywords":"Computer science; Ethical responsibility; Knowledge management; Engineering ethics","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":[0.1365892,0.0006545903,0.001032521,0.003484967,0.01058706,0.01861106,0.00187989,0.01217487,0.001479848],"category_scores_gemma":[0.1432909,0.0007418147,0.0007487729,0.002247749,0.07405902,0.01827162,0.01642407,0.01307518,0.0002359893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116992,"about_ca_system_score_gemma":0.02278084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379065,"about_ca_topic_score_gemma":0.002518326,"domain_scores_codex":[0.8089597,0.1376045,0.005203819,0.005249387,0.03612484,0.006857718],"domain_scores_gemma":[0.7408391,0.2075666,0.01651634,0.007260783,0.02021644,0.007600851],"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":[0.00002854176,0.00008702195,0.004011052,0.0001630035,0.00003230809,0.0003932072,0.04396933,0.001196426,0.0005863279,0.9193088,0.0008994889,0.02932445],"study_design_scores_gemma":[0.00002818912,0.0001184163,0.003080628,0.0008628813,0.00003044299,0.0004047034,0.03517403,0.002174038,0.0007862252,0.9233855,0.03385697,0.00009796949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2839262,0.0115975,0.1478131,0.2791498,0.001085017,0.0004005847,0.00001713425,0.00008128049,0.2759293],"genre_scores_gemma":[0.9876165,0.0009300116,0.005945598,0.003758915,0.0002086223,0.0001018531,0.000003332766,0.00001849665,0.001416721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365892,"threshold_uncertainty_score":0.7223613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874995223594277,"score_gpt":0.3972439104505128,"score_spread":0.36849395821457,"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."}}