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feat(ms-ai-architect): decision-b Enhet 1 — dialekt-relabel 51 filer (Kategori→Category + Sist oppdatert→Last updated), 73 byte-eksakte swaps [skip-docs]

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Ren value-preserving label-relabel av de to norske header-labelene til engelsk på 51 ref-filer (22 bærer begge). Ny testet ren primitiv relabelHeaderDialect() (header-blokk-scoped, kollisjons-/multiforekomst-guard) + manifest-drevet driver relabel-dialect.mjs (frosset 51-fil-manifest, hard per-fil-invariant, idempotent, isMain-guard). **Dato:** bevisst UTE (body-template-felle → Enhet 2). Premiss-korreksjon i roadmap R22: tredje Dato-dialekt (16), 0 bold-duplikater (ikke 4), 1 datoløs (ikke 5), category-none = vindus-artefakt. test-relabel-dialect 11/11; diff +73/-73 0 linjer utover label; suite 782/782 exit 0.
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Kjell Tore Guttormsen 2026-07-06 10:07:52 +02:00
commit e999b74eda
54 changed files with 405 additions and 75 deletions
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skills/ms-ai-governance/references/monitoring-observability/anomaly-detection-ai-systems.md
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# Anomaly Detection for AI Systems
**Dato:** 5. februar 2026
**Kategori:** Monitoring & Observability
**Category:** Monitoring & Observability
**Målgruppe:** AI-arkitekter, DevOps-team, MLOps-ingeniører
**Type:** reference
**Source:** https://learn.microsoft.com/azure/ai-services/anomaly-detector/overview

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skills/ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md
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# Application Insights for LLM Monitoring
**Kategori:** Monitoring & Observability
**Category:** Monitoring & Observability
**Dato:** 2026-02-05
**Status:** Komplett
**Type:** reference

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skills/ms-ai-governance/references/monitoring-observability/azure-monitor-setup-ai-workloads.md
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# Azure Monitor Setup and Configuration for AI Workloads
**Kategori:** Monitoring & Observability
**Sist oppdatert:** 2026-02-05
**Category:** Monitoring & Observability
**Last updated:** 2026-02-05
**Gjelder for:** Azure OpenAI, Azure AI Services, Azure AI Search, Microsoft Foundry
**Type:** reference

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skills/ms-ai-governance/references/monitoring-observability/custom-dashboards-ai-operations.md
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# Custom Dashboards for AI Operations
**Kategori:** Monitoring & Observability
**Sist oppdatert:** 2026-06-19 | Verified: MCP 2026-06-19
**Category:** Monitoring & Observability
**Last updated:** 2026-06-19 | Verified: MCP 2026-06-19
**Brukes av:** Cosmo Skyberg, Microsoft AI Solution Architect
**Type:** reference
**Source:** https://learn.microsoft.com/azure/azure-monitor/visualize/workbooks-overview

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skills/ms-ai-governance/references/monitoring-observability/distributed-tracing-ai-pipelines.md
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# Distributed Tracing for AI Pipelines
**Kategori:** Monitoring & Observability
**Category:** Monitoring & Observability
**Dato:** 2026-06-19
**Status:** ✅ Komplett
**Type:** reference

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skills/ms-ai-governance/references/monitoring-observability/log-analytics-kql-ai-queries.md
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# Log Analytics KQL Queries for AI
**Kategori:** Monitoring & Observability
**Category:** Monitoring & Observability
**Dato:** 2026-05
**Forfatter:** Cosmo Skyberg, AI Solution Architect
**Type:** reference

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skills/ms-ai-governance/references/monitoring-observability/token-usage-tracking-attribution.md
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# Token Usage Tracking and Attribution
**Kategori:** Monitoring & Observability
**Category:** Monitoring & Observability
**Dato:** 2026-06-19
**Versjon:** 1.0
**Type:** reference

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skills/ms-ai-governance/references/norwegian-public-sector-governance/gevinstrealisering-dfo-methodology.md
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# DFØs 5-stegs modell for gevinstrealisering i AI-prosjekter
**Sist oppdatert:** 2026-02 (v1.0)
**Last updated:** 2026-02 (v1.0)
**Status:** Gjeldende
**Kategori:** Norwegian Public Sector AI Governance
**Category:** Norwegian Public Sector AI Governance
**Konfidens:** Høy (basert på DFØ veileder og Prosjektveiviseren)
**Type:** methodology

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skills/ms-ai-governance/references/norwegian-public-sector-governance/norwegian-nlp-benchmarks.md
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# Norske NLP-benchmarks og språkkvalitetsvurdering
**Sist oppdatert:** 2026-02 (v1.0)
**Last updated:** 2026-02 (v1.0)
**Status:** Gjeldende
**Category:** Norwegian Public Sector AI Governance
**Type:** reference

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-ai-threat-library.md
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# AI-trusselbibliotek for ROS-analyse
**Sist oppdatert:** 2026-06-18
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-06-18
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Strukturert trusselkatalog for ros-analysis-agent — gir deterministisk trusselidentifisering med standardverdier for sannsynlighet og konsekvens
**Type:** methodology

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-dpia-security-integration.md
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# Integrasjonsguide: ROS, DPIA og sikkerhetsvurdering
**Sist oppdatert:** 2026-02
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-02
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Veiledning for koordinering mellom ROS-analyse, DPIA og sikkerhetsvurdering — unngå duplisering, sikre dekning, og produser et sammenhengende risikovurderingsgrunnlag
**Type:** methodology

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-maestro-multiagent.md
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# MAESTRO 7-lags sikkerhetsmodell for multiagent AI-systemer
**Sist oppdatert:** 2026-02
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-02
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Strukturert sikkerhetsmodell for multiagent-orkestrering — brukes av ros-analysis-agent for dybdevurdering av agent-baserte systemer
**Type:** methodology

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-methodology-ns5814-iso31000.md
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# ROS-metodikk: NS 5814, ISO 31000 og AI-spesifikke rammeverk
**Sist oppdatert:** 2026-06-18
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-06-18
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Detaljert metodikkguide for ros-analysis-agent — kobler AI-ROS til etablerte standarder og sikrer revisjonssporbarhet
**Type:** regulatory

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-report-templates.md
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# ROS-rapportmaler for AI-systemer
**Sist oppdatert:** 2026-02
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-02
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Standardiserte rapportmaler for ros-analysis-agent — Quick ROS og Full ROS
**Type:** template

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-scoring-rubrics-7x5.md
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# ROS-scoringsrubrikker (7×5)
**Sist oppdatert:** 2026-02 (v1.0)
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-02 (v1.0)
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Deterministiske rubrikker for ros-analysis-agent — erstatter vage 1-5 beskrivelser med eksakte, verifiserbare sjekkpunkter
**Type:** methodology

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skills/ms-ai-governance/references/norwegian-public-sector-governance/ros-sector-checklists.md
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# Sektorspesifikke ROS-sjekklister for AI-systemer
**Sist oppdatert:** 2026-02
**Kategori:** Norwegian Public Sector AI Governance
**Last updated:** 2026-02
**Category:** Norwegian Public Sector AI Governance
**Status:** Established Practice
**Formål:** Sektortilpassede sjekklister for ros-analysis-agent — gir sektor-spesifikk risikoidentifisering utover generell AI-risikovurdering
**Type:** template

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skills/ms-ai-governance/references/norwegian-public-sector-governance/samfunnsokonomisk-analyse-nnv.md
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# Samfunnsøkonomisk analyse med NNV-beregning for AI-prosjekter
**Sist oppdatert:** 2026-02 (v1.0)
**Last updated:** 2026-02 (v1.0)
**Status:** Gjeldende
**Kategori:** Norwegian Public Sector AI Governance
**Category:** Norwegian Public Sector AI Governance
**Konfidens:** Høy (basert på DFØ veileder 2023 og Finansdepartementets R-109/21)
**Type:** methodology

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skills/ms-ai-governance/references/responsible-ai/ai-act-annex-iii-checklist.md
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# EU AI Act — Annex III Sjekkliste for høyrisiko-klassifisering
**Sist oppdatert:** 2026-02 (v1.0)
**Last updated:** 2026-02 (v1.0)
**Status:** GA
**Category:** Responsible AI & Governance
**Hjemmel:** Regulation (EU) 2024/1689, Annex III, Article 6(2)-(3)

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skills/ms-ai-governance/references/responsible-ai/ai-center-of-excellence-setup.md
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# AI Center of Excellence - Building Organizational Capability
**Kategori:** Responsible AI & Governance
**Opprettet:** 2026-04 | **Sist oppdatert:** 2026-06-19
**Category:** Responsible AI & Governance
**Opprettet:** 2026-04 | **Last updated:** 2026-06-19
**Confidence:** HIGH (basert på Microsoft Cloud Adoption Framework og offisiell dokumentasjon)
**Type:** reference
**Source:** https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/ai/govern

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skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md
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# AI Governance Structure - Building an Organizational Framework
**Dato:** 2026-02-03
**Kategori:** Responsible AI & Governance
**Category:** Responsible AI & Governance
**Målgruppe:** Tekniske beslutningstakere, AI-arkitekter, governance-team
**Oppdateringsfrekvens:** Kvartalsvis (Q1 2026)
**Type:** methodology

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skills/ms-ai-governance/references/responsible-ai/red-teaming-ai-models.md
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# Red Teaming AI Models - Adversarial Testing & Security
**Dato:** 2026-06-19
**Kategori:** Responsible AI & Governance
**Category:** Responsible AI & Governance
**Målgruppe:** Arkitekter, sikkerhetsteam, AI-utviklere
**Konfidensgrad:** ⚠️ HIGH — Basert på offisiell Microsoft-dokumentasjon (jun 2026)
**Type:** reference