{"id":"W6930642865","doi":"10.5281/zenodo.15308193","title":"Boardroom AI: The Governance of AI-Assisted Corporate Decision-Making","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Catholic Historical Association","funders":"","keywords":"Corporate governance; Conversation; Process (computing); Control (management); Profitability index; Face (sociological concept); Risk management; Accountability","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":[0.03382602,0.0004869825,0.0005363025,0.002412035,0.00391352,0.01572672,0.002021316,0.003156753,0.00636782],"category_scores_gemma":[0.04200852,0.0004727456,0.0005256595,0.002980742,0.01173664,0.007728591,0.006897247,0.003390939,0.001261577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004531511,"about_ca_system_score_gemma":0.0129125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005179541,"about_ca_topic_score_gemma":0.004492236,"domain_scores_codex":[0.968566,0.02322723,0.001186952,0.002413514,0.003130407,0.001475919],"domain_scores_gemma":[0.9600352,0.02025992,0.00409745,0.007286708,0.004929848,0.003390855],"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":[0.00004995592,0.00006948708,0.003565552,0.000135662,0.00005429272,0.0001672823,0.005807228,0.00833909,0.0008547192,0.8866354,0.009907884,0.08441347],"study_design_scores_gemma":[0.00003281929,0.00005495485,0.002290324,0.0002958501,0.00002732736,0.00008592463,0.002646039,0.01638474,0.0008092286,0.8404731,0.1368527,0.00004710841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03690198,0.003042582,0.6626673,0.04249869,0.0008561043,0.0006578681,0.0001882984,0.001045854,0.2521412],"genre_scores_gemma":[0.861472,0.00156088,0.1118831,0.002131727,0.0006518044,0.0005852173,0.0002325337,0.0002907966,0.02119208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03382602,"threshold_uncertainty_score":0.1788912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05750381083377945,"score_gpt":0.3448109204209877,"score_spread":0.2873071095872083,"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."}}