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docs(architect): weekly KB update — 66 files refreshed (2026-04)

Browse source 
Updated 66 stale knowledge base reference files (10 critical, 56 high)
across all 5 skills using Microsoft Learn MCP research.

Key factual updates:
- Groundedness Detection API: `correction` → `mitigating` param,
  `correctedText` → `correctionText` (breaking change)
- Copilot Studio: GPT-4.1 mini now default (was GPT-4o mini);
  Claude Sonnet 4.5 + Opus 4.5 added (experimental, 200K ctx)
- Agentic Retrieval: still public preview; 50M free tokens/month
- Azure security baselines: "Cognitive Services" → "Foundry Tools"
- Databricks: Delta Live Tables → Lakeflow Spark Declarative Pipelines
- MLflow 3 GenAI: new Feedback/Expectation data model
- Token tracking doc: "Azure OpenAI in Foundry Models through a gateway"
- Agent Registry: Risks column (M365 E7), Graph API (preview)
- Copilot DLP: new Entra AI Admin + Purview Data Security AI Admin roles
- ISO/IEC 42001: scope expanded to M365 Copilot, Foundry, Security Copilot
- Zero Trust: CAE now via Conditional Access, Strict Location Enforcement
- Purview: new Fabric Copilots/agents governance section
- AG-UI HITL: ApprovalRequiredAIFunction (C#), @tool approval_mode (Python)

All files: Last updated → 2026-04, *(Verified MCP 2026-04)* markers added.
Build registry: 1341 URLs from 387 files (+2 new URLs).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-09 22:41:26 +02:00
commit ad8a411f38
73 changed files with 727 additions and 301 deletions
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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/ai-act-compliance-guide.md
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# AI Act Compliance - EU Regulation & Norwegian Implementation
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/ai-center-of-excellence-setup.md
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@ -1,7 +1,7 @@
# AI Center of Excellence - Building Organizational Capability
**Kategori:** Responsible AI & Governance
**Opprettet:** 2026-02-03
**Opprettet:** 2026-04
**Confidence:** HIGH (basert på Microsoft Cloud Adoption Framework og offisiell dokumentasjon)
## Introduksjon
@ -637,7 +637,8 @@ Executive sponsorship tilgjengelig? ──No──> Ikke etabler CoE nå
### Microsoft-ressurser å referere til
- **Cloud Adoption Framework - AI Strategy:** https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/ai/
- **Cloud Adoption Framework - AI Strategy:** https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/ai/ *(Verified MCP 2026-04)*
> Oppdatert struktur: Strategy → Plan → Ready → Govern → Manage → Secure. AI CoE er nå referert under "Manage AI operations" steg 1. Nye ressurser: Copilot Tuning (preview) og model retirement tracking via Foundry-portalen.
- **AI Center of Excellence Guide:** https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/ai/center-of-excellence
- **Microsoft Learn - AI CoE Learning Path:** https://learn.microsoft.com/training/paths/ai-center-excellence/
- **Responsible AI Tools & Practices:** https://www.microsoft.com/ai/tools-practices

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/ai-ethics-in-public-sector.md
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# AI Ethics in Public Sector - Norwegian Government Context
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -462,6 +462,8 @@ Nav har utviklet en "AI for sykefraværsprediksjon"-modell. Denne kan deles som
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Microsoft Learn (Verified)
@ -498,7 +500,7 @@ Nav har utviklet en "AI for sykefraværsprediksjon"-modell. Denne kan deles som
---
**Sist oppdatert:** 2026-02-04
**Sist oppdatert:** 2026-04
**Neste review:** 2026-08 (etter KI-lovens ikrafttredelse)
**Eier:** AI Architect Plugin (Cosmo Skyberg)
**Status:** Active — Requires quarterly updates as Norwegian AI regulations evolve

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/ai-impact-assessment-framework.md
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# AI Impact Assessment - Evaluating Organizational and Societal Impact
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -550,6 +550,8 @@ Impact Assessment for offentlig sektor i Norge må adressere:
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Primary sources (Verified)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/continuous-improvement-feedback-loops.md
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@ -1,6 +1,6 @@
# Continuous Improvement and Feedback Loops - Iterative Governance
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -29,7 +29,10 @@ Microsoft implementerer feedback loops gjennom hele AI-livssyklusen – fra utvi
### 1. Production Data Collection
**Tracing og logging:**
- **MLflow Traces**: Fanger detaljerte execution traces med inputs, outputs og alle mellomsteg for hver interaksjon
- **MLflow Traces** / **MLflow 3 GenAI**: Fanger detaljerte execution traces med inputs, outputs og alle mellomsteg for hver interaksjon. *(Verified MCP 2026-04)*
- MLflow 3 GenAI introduserer ny **Feedback/Expectation-datamodell** for strukturert lagring av human feedback
- `mlflow.log_feedback()` API for å knytte bruker-rating og kommentarer til spesifikke traces
- Integrert tracing for Databricks agentic applikasjoner
- **Azure Monitor & Application Insights**: Logger operational metrics, latency, error rates
- **Model Data Collector**: Automatisk innsamling av production data for ML-modeller
- **Azure AI Content Safety logs**: Sporer content moderation events

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/data-quality-responsible-ai.md
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# Data Quality for Responsible AI - Ensuring Training Data Integrity
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -77,7 +77,9 @@ Gjennomfør EDA **tidlig** i feature design for å identifisere:
| **Memory issues detection** | Done/Passed | Sjekker at horizon/lag/rolling window ikke forårsaker OOM |
| **Frequency detection** | Done/Passed | Verifiserer time-series alignment |
**Data quality expectations (Azure Databricks):**
**Data quality expectations (Azure Databricks / Lakeflow Spark Declarative Pipelines):** *(Verified MCP 2026-04)*
> **Merk:** Delta Live Tables er nå offisielt omdøpt til **Lakeflow Spark Declarative Pipelines**. Kodeeksemplene (`@dp.table`, `@dp.expect_all_or_drop`) er fortsatt gyldige.
```python
valid_pages = {

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/fairness-testing-measurement.md
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# Fairness Testing and Measurement - Quantifying Equity
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -497,6 +497,8 @@ For norske offentlige myndigheter:
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Microsoft Learn Documentation (Verified)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/human-in-the-loop-oversight.md
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# Human-in-the-Loop and Oversight - Maintaining Human Agency
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -780,6 +780,8 @@ For offentlig sektor i Norge:
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
**Microsoft Official Documentation (Verified):**

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/model-explainability-interpretability.md
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@ -1,6 +1,6 @@
# Model Explainability and Interpretability - XAI Techniques
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -498,6 +498,8 @@ SLUTT: Dokumenter valg i ADR, implementer, valider med stakeholders
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Microsoft Learn (Verified via MCP)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/model-monitoring-drift-detection.md
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@ -1,6 +1,6 @@
# Model Monitoring and Drift Detection - Ongoing Compliance
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -717,6 +717,8 @@ Implement Azure Machine Learning model monitoring with:
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Verified Sources (MCP Research)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/responsible-ai-framework-overview.md
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@ -1,6 +1,6 @@
# Responsible AI Framework - Microsoft's Core Principles
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -297,6 +297,8 @@ A: Ja for high-risk use cases (biometrics, critical infrastructure). Nei for low
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Microsoft offisiell dokumentasjon (2025-2026)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/responsible-ai-training-awareness.md
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# Responsible AI Training and Awareness - Organizational Capability
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -508,6 +508,8 @@ Er det custom AI (ikke bare ferdiglagde features)?
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
**Verified sources (fra MCP microsoft-learn):**
@ -546,5 +548,5 @@ Er det custom AI (ikke bare ferdiglagde features)?
---
**Sist oppdatert:** 2026-02
**Sist oppdatert:** 2026-04
**Neste review:** 2026-08 (etter EU AI Act trår i kraft, forventet juni 2026)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/stakeholder-communication-ai-decisions.md
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# Stakeholder Communication - Explaining AI Decisions to Non-Technical Audiences
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance
@ -772,6 +772,8 @@ Hvis noen av disse mangler: **IKKE deploy før de er på plass.** AI uten stakeh
---
*(Verified MCP 2026-04)*
## Kilder og verifisering
### Verified Sources (fra MCP microsoft-learn)

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plugins/ms-ai-architect/skills/ms-ai-governance/references/responsible-ai/transparency-documentation-standards.md
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# Transparency and Documentation - Regulatory and Best Practice Standards
**Last updated:** 2026-02
**Last updated:** 2026-04
**Status:** GA
**Category:** Responsible AI & Governance