中心となる問い 新着
組織は導入後のAIシステムをどのように継続して評価・保守できるか?
Artificial Intelligence & Automation
実践への示唆
- CIO / IT役員 Allocate Q3 budget to build or procure an MLOps platform featuring model traceability, automated deployment, annotation, and real-time performance monitoring tools.
- ITマネージャー Schedule an inventory of all deployed operational AI models to audit their current performance drift and verify if automated deployment pipelines are active.
- 経営戦略担当者 Draft a mandatory evaluation plan and risk assessment framework for all upcoming AI projects, ensuring alignment with EU AI Act post-market monitoring requirements.
- 研究者 Design a blind sampling protocol and reflective human oversight process to test live AI models against shifting real-world user behaviors and data drift.
- 政策立案者 Mandate structured, ongoing post-market monitoring and traceability requirements for high-risk AI deployments based on the X-RAI continuous evaluation framework.