MBA マネジャーのための AI キット

AI for managers course guide: ML, generative AI and agents, data as an asset, build or buy, productivity evidence, 12-session roadmap, Northfield mini-case

AI value creation, prediction machines framing, weighted use-case scoring, AI business case with NPV, ROI, payback and expected NPV, data moat tests

Screen a proposed AI use case: data, affected people, AI Act prohibited/high-risk/transparency questions, tier, reviews

Human in the loop, automation bias, calibration, confusion matrix, precision and recall, cost-based thresholds, A/B tests of AI features, when not to use AI

Model details, intended and out-of-scope uses, factors, metrics, data, disaggregated results, ethics, caveats

NIST AI RMF 1.0 and AI 600-1, ISO/IEC 42001, EU AI Act tiers and dates as amended in 2026, AI risk register with scores and expected loss

GOVERN, MAP, MEASURE, MANAGE assessment: context, impacts, trustworthiness, scored risk register, controls, residual risk

Staff AI policy: approved tools, permitted and prohibited uses, prompt data rules, review, IP, disclosure, incidents

AI policy + AI system impact assessment

AI inventory, per-system applicability matrix, EU AI Act dates, Korea, Colorado, California, New York, Texas, China, Japan duties, horizon scanning, change log