{ "format": "agent-article-v0", "article_id": "EA-108", "canonical_url": "/tools/ea-108-ai-center-of-excellence", "page_type": "reference", "claim_ids": [], "evidence_ids": [ "EVD-EA-108-URL-54DBC1541342", "EVD-EA-108-URL-7EDE95CB3D6E", "EA-108-R11-RESEARCH", "EA-108-R11-WEB-READBACK" ], "unknown_ids": [ "EA-108-UNKNOWN-01", "EA-108-UNKNOWN-CURRENTNESS" ], "operational_object_ids": [], "provider": [], "models": [], "plans": [], "surfaces": [], "regions": [], "current_status": "UNKNOWN", "observation_status": "SPEC_ONLY", "freshness": "UNKNOWN", "last_verified": null, "supersedes": [], "superseded_by": [], "provenance": [ "COMM-039-EA0108", "SRC-EA-108-URL-54DBC1541342", "SRC-EA-108-URL-7EDE95CB3D6E", "WEBBODY-EA0108-R8-F575F5AC" ], "article_sources": [ { "id": "EVD-EA-108-URL-54DBC1541342", "evidence_class": "RESEARCH", "title": "1) source class: official framework/resource center; exact title: Artificial Intelligence Risk Management Framework; author/org: NIST; canonical URL:", "href": "https://www.nist.gov/itl/ai-risk-management-framework", "supports": [], "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。", "origin_class": "SOURCE_PACKET_REFERENCE", "source_or_experiment_ids": [ "SRC-EA-108-URL-54DBC1541342" ], "supporting_locators": [ "EVIDENCE TABLE", "1) source class: official framework/resource center; exact title: Artificial Intelligence Risk Management Framework; author/org: NIST; canonical URL: https://www.nist.gov/itl/ai-risk-management-framework" ], "scope": "EVIDENCE TABLE", "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED" }, { "id": "EVD-EA-108-URL-7EDE95CB3D6E", "evidence_class": "RESEARCH", "title": "2) source class: international standard; exact title: ISO/IEC 42001:2023 Information technology — Artificial intelligence — Management system; author/org: ISO/IEC JTC 1/SC 42; cano", "href": "https://www.iso.org/standard/42001", "supports": [], "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。", "origin_class": "SOURCE_PACKET_REFERENCE", "source_or_experiment_ids": [ "SRC-EA-108-URL-7EDE95CB3D6E" ], "supporting_locators": [ "EVIDENCE TABLE", "2) source class: international standard; exact title: ISO/IEC 42001:2023 Information technology — Artificial intelligence — Management system; author/org: ISO/IEC JTC 1/SC 42; canonical URL: https://www.iso.org/standard/42001" ], "scope": "EVIDENCE TABLE", "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED" }, { "id": "EA-108-R11-RESEARCH", "evidence_class": "RESEARCH", "title": "EA-108 監査済みresearch / canonical revision binding", "supports": [ "今回確認した一次資料はAI CoEという組織名や標準的な権限表を定義していない。一方、NISTのrisk management lifecycle/Resource Center、ISOのorganization-wide AIMS・policy/process・PDCAは、CoEが標準、基盤、教育、測定、監査支援を提供するという設計の根拠になる。ただし「CoEは承認機関ではなく提供組織」という結論はPROPOSAL/INFERENCEである。" ], "limit": "canonical監査・revision bindingの存在を示す。外部ソースcurrentnessが本文またはcontrol-planeで確定していない場合は、currentnessをUNKNOWNのまま保持する。", "origin_class": "AUDITED_CANONICAL_RESEARCH_PACKET", "source_or_experiment_ids": [ "COMM-039-EA0108" ], "supporting_locators": [ "COMM-039-EA0108", "EA-108-R5-LEGACY-MIGRATION-20261008-R1", "content/staging/EA-108.md" ], "scope": "監査済みEA本文・canonical revision・既存Source Graph relationの範囲。欠損currentnessは推測で閉じない。", "provenance_status": "AUDIT_PASS_CANONICAL_BINDING" }, { "id": "EA-108-R11-WEB-READBACK", "evidence_class": "IMPL", "title": "EA-108 Web body identity / canonical readback", "supports": [ "canonical staging bodyのSHA-256一致とR9 canonical ledger readbackをProduction projectionの入力として検証する。" ], "limit": "body identity/readbackは本文claim自体の真偽や外部ソースの最新性を追加保証しない。", "checked_at": null, "origin_class": "IMPLEMENTATION_READBACK", "source_or_experiment_ids": [ "WEBBODY-EA0108-R8-F575F5AC" ], "supporting_locators": [ "WEBBODY-EA0108-R8-F575F5AC", "content/staging/EA-108.md", "EA-108-R5-LEGACY-MIGRATION-20261008-R1" ], "scope": "R9/R10 canonical readback後のProduction生成時body identity。", "provenance_status": "CANONICAL_READBACK_BODY_HASH_MATCH" } ], "research_sections": [ { "heading": "WHY_THIS_MATTERS_TO_UPDATE", "text": "CoEを承認窓口だけにすると、標準・基盤・監査・教育・例外処理が各部署へ分散し、AI利用の実態と統制が分離する。" }, { "heading": "SCOPE_ROUTING", "text": "Enterprise AI Core / organization / governance / operating model" }, { "heading": "CLAIM_OR_RESEARCH_QUESTION", "text": "一次資料はAI CoEの役割を直接規定するか。直接規定がない場合、どの機能を根拠付きでCoE提案へ組み込めるか。" }, { "heading": "EVIDENCE TABLE", "text": "1) source class: official framework/resource center; exact title: Artificial Intelligence Risk Management Framework; author/org: NIST; canonical URL: https://www.nist.gov/itl/ai-risk-management-framework; publication/update/access: 2023-01-26, page accessed 2026-09-13; version/release: AI RMF 1.0 / AIRC; supporting locator: lines 132-138（organization/social risk、design/development/use/evaluation、Playbook/Resource Center/Use Case）; evidence label: VERIFIED_SPEC; relation: support / limit。\n2) source class: international standard; exact title: ISO/IEC 42001:2023 Information technology — Artificial intelligence — Management system; author/org: ISO/IEC JTC 1/SC 42; canonical URL: https://www.iso.org/standard/42001; publication/update/access: 2023-12, accessed 2026-09-13; version/release: Edition 1; supporting locator: lines 46-48, 84, 98（organization-wide AIMS、policy/objectives/process、継続改善、PDCA）; evidence label: VERIFIED_SPEC; relation: support / limit。" }, { "heading": "FINDINGS", "text": "今回確認した一次資料はAI CoEという組織名や標準的な権限表を定義していない。一方、NISTのrisk management lifecycle/Resource Center、ISOのorganization-wide AIMS・policy/process・PDCAは、CoEが標準、基盤、教育、測定、監査支援を提供するという設計の根拠になる。ただし「CoEは承認機関ではなく提供組織」という結論はPROPOSAL/INFERENCEである。" }, { "heading": "LIMITS / COUNTEREVIDENCE / FAILURE ENVELOPE", "text": "CoEの最適な中央集権/連邦型、予算、責任分界、成功指標を直接証明する一次資料は今回確保していない。組織文化・規模・規制業種で設計が変わる。" }, { "heading": "AVAILABILITY_GATES", "text": "CoE charter、権限、サービスcatalog、exception/appeal、product owner、security/legal escalation、evidence ownership、funding、feedback loop。" }, { "heading": "IMPLEMENTATION_STATE", "text": "実装状態: CoE機能分解の提案（standard/platform/assurance/education/portfolio）。実組織への適用・権限付与未実施。" }, { "heading": "BENCHMARK_OR_EVAL", "text": "Benchmark: なし。Evaluation: 1ユースケースを受付→risk mapping→design review→test→release→monitor→incident→retirementまで通すRACI/証跡dry run。" }, { "heading": "SECURITY / PRIVACY / AUDIT / COST / OPERABILITY", "text": "AUDIT: decision logとexception expiry。SECURITY/PRIVACY: CoEはpolicy enforcement pointと同一視しない。COST: platform共有と中央人員の費用は未知。OPERABILITY: service catalog/SLA/再利用率を測定候補にする。" }, { "heading": "SAFE_WORDING_FOR_FUTURE_BOOK", "text": "「AI CoEという名称・標準権限をNIST/ISOが直接定義しているわけではない。本書では、両者が示す組織的リスク管理・policy/process・継続改善を提供する運用モデルとしてCoEを提案する。」" }, { "heading": "UPDATE_WORK_HANDOFF", "text": "本文改訂時はCoEを承認部署と断定せず、charter・提供サービス・RACI・例外処理・証跡の設計として記載する。" }, { "heading": "OPEN_UNKNOWN", "text": "CoEの独立実運用case、central/federated比較、AI agent ownership、予算/ROI、組織規模別の最小構成。" }, { "heading": "STOP_CONDITION", "text": "実在事例や一次資料がない権限・成果指標を既成のベストプラクティスとして書かない。\nUNIT_CLOSE_STATUS: INDIVIDUAL_BOUNDED_CLOSE / EVIDENCE_RECORDED / UNKNOWN_PRESERVED\n\n---" }, { "heading": "AUDITED_CURRENTNESS_BOUNDARY", "text": "NIST AI RMF and ISO 42001 support organization-wide management but do not mandate an AI CoE name, authority model or universal RACI." } ], "human_url": "/tools/ea-108-ai-center-of-excellence", "markdown_url": "/agent/article.md?path=%2Ftools%2Fea-108-ai-center-of-excellence", "json_url": "/agent/article.json?path=%2Ftools%2Fea-108-ai-center-of-excellence" }