Phoenix.Rising.Elegance.mp4
#LookUp #SeeYou? Reconnect / #Loading - by - #KIAI #KI #AI - #OverLoading #Frequenzy #Loader.
#IHopeYouLike / Hashtag#IT
#GoodMorning2AllWishes / #PitchPlatchPledge!. / #WitchWatchPitchPatschPledge. #PledgePitchPatch v.1.0
„Ordnung ist Sternenlicht im Code: Jede Datei ein kleines Gesetz des Guten."
Kein Consent → kein Content. Jede Antwort mit Herkunft & Hash. Fail-closed statt Wunschdenken.
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📊 Progress Trackerpie title EU Compliance Status
"Implemented" : 45
"In Progress" : 35
"Planned" : 20
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🎯 Rechtliche Kontrollengraph TD
A[Grundgesetz Art. 1] --> B[Menschenwürde]
B --> C[Datenschutz BDSG]
C --> D[Zivilrecht BGB]
D --> E[Compliance Check ✓]
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🌐 Global Standardsmindmap
root)Global Compliance(
UN
UDHR Art. 12
UDHR Art. 19
WIPO
Copyright
Patents
EPO
Prior Art
Innovation
NIST
AI Framework
Risk Management
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🔄 Integration Flowgraph LR
A[GitHub Repo] --> B[Spark Analysis]
B --> C[UI Generation]
C --> D[VS Code Edit]
D --> E[Live Preview]
E --> F[Auto Deploy]
style A fill:#24292e,stroke:#0366d6,color:#fff
style B fill:#f39c12,stroke:#e67e22,color:#fff
style C fill:#e74c3c,stroke:#c0392b,color:#fff
style D fill:#0366d6,stroke:#024ea4,color:#fff
style E fill:#28a745,stroke:#1e7e34,color:#fff
style F fill:#6f42c1,stroke:#5a32a3,color:#fff
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📑 STRUKTUR-ÜBERSICHT
├── 🏛️ [Präambel & Werte](#präambel--werte)
│ ├── Consent-First Prinzip
│ ├── Herkunft & Hash Verification
│ └── Fail-Closed Security Model
│
├── 📋 [Geltungsbereich & Referenzen](#geltungsbereich--referenzen)
│ ├── Jurisdiktionsmatrix
│ ├── Rechtliche Quellen
│ └── Internationaler Kontext
│
├── ⚖️ [Compliance-Mapping](#compliance-mapping)
│ ├── 🇪🇺 [EU Regulierung](#eu)
│ │ ├── EU AI Act (Art. 3, 5, 6)
│ │ ├── GDPR (Art. 5, 6, 9)
│ │ ├── NIS2 (Ops/Sec Controls)
│ │ └── CRA (Security by Design)
│ ├── 🇩🇪 [Deutschland](#deutschland)
│ │ ├── Grundgesetz (Art. 1)
│ │ ├── BGB (Zivilrechtliche Bezüge)
│ │ └── BDSG (Datenschutz)
│ ├── 🌍 [UN/International](#unmenschenrechte)
│ │ ├── UDHR (Art. 12, 19)
│ │ ├── WIPO/EPO/EPA (IP-Rights)
│ │ └── NIST AI RMF 1.0
│ └── 🚀 [GitHub Spark Integration](#github-spark)
│
├── 📚 [Repository-Register](#repository-register-ethik--menschenrechte)
│ ├── Ethik-Dokumentation
│ ├── Menschenrechts-Mapping
│ └── Compliance-Evidenzen
│
├── 🏛️ [Governance-Dokumente](#governance-dokumente)
│ ├── Model Cards
│ ├── Dataset Cards
│ └── Transparenz-Reports
│
├── ⚠️ [Risikoregister](#risikoregister-aidata)
│ ├── AI-spezifische Risiken
│ ├── Data Protection Risks
│ └── Mitigation Strategies
│
└── 🔍 [Transparenz & Verification](#transparenz-herkunft--hash)
├── Commit Hash Tracking
├── GPG Signature Verification
└── SLSA Supply Chain Security
graph TD
A[User Request] --> B{Consent Check}
B -->|✅ Granted| C[Process Data]
B -->|❌ Denied| D[Fail Closed]
C --> E[Hash & Log]
D --> F[Secure Rejection]
style A fill:#e1f5fe
style B fill:#fff3e0
style C fill:#e8f5e8
style D fill:#ffebee
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sequenceDiagram
participant U as User
participant S as System
participant V as Verifier
U->>S: Submit Data
S->>V: Generate Hash
V->>S: Return SHA-256
S->>U: Response + Hash
Note over U,V: Every response traced & verifiable
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🛡️ Signal-/Datenhygiene Controls
- 🔒 PII-Scrubbing: Automatische Erkennung und Anonymisierung personenbezogener Daten
- 🎯 Zweckbindung: Datenverarbeitung nur für explizit definierte Zwecke
- 📏 Datenminimierung: Minimal necessary data principle
- ⏰ Speicherbegrenzung: Automatische Löschkonzepte nach definierter Retention
- 📊 Differential Privacy: Mathematische Privacy-Garantien wo anwendbar
- 🔍 Red Teaming: Kontinuierliche Bias-, Sicherheits- und Missbrauchstests
# Beispiel: PII-Scrubbing Pipeline
class PIIScrubbingPipeline:
def __init__(self):
self.patterns = {
'email': r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b',
'phone': r'\+?1?-?\.?\s?\(?\d{3}\)?[\s.-]?\d{3}[\s.-]?\d{4}',
'ssn': r'\b\d{3}-?\d{2}-?\d{4}\b'
}
def scrub(self, text):
for pattern_name, pattern in self.patterns.items():
text = re.sub(pattern, f'[REDACTED_{pattern_name.upper()}]', text)
return text⚡ Fail-Closed Security Model
Grundprinzip: Bei Unsicherheit oder Fehlern wird restriktiv entschieden.
flowchart TD
A[Request Input] --> B{Security Check}
B -->|Pass| C{Compliance Check}
B -->|Fail| D[Reject & Log]
C -->|Pass| E{Ethics Validation}
C -->|Fail| D
E -->|Pass| F[Process Request]
E -->|Fail| D
F --> G[Generate Response + Hash]
style D fill:#ffcdd2
style G fill:#c8e6c9
Implementierung:
- 🚫 Default Deny: Alle Anfragen standardmäßig abgelehnt bis explizit zugelassen
- 🔍 Multi-Layer Validation: Security → Compliance → Ethics → Processing
- 📝 Comprehensive Logging: Alle Ablehnungen mit Grund und Kontext geloggt
- 🔄 Auto-Recovery: Temporäre Fehler führen zu Retry mit exponential backoff
| Jurisdiction | Primäre Regulierung | Implementierungsgrad | Nächste Schritte |
|---|---|---|---|
| 🇪🇺 EU | EU AI Act, GDPR, NIS2, CRA |
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AI Act Risk Assessment finalisieren |
| 🇩🇪 DE | Grundgesetz, BGB, BDSG |
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BDSG Harmonisierung mit GDPR |
| 🌍 UN | UDHR, WIPO, NIST |
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NIST AI RMF Implementation |
📖 Primäre Rechtsquellen
- EU AI Act - Regulation 2024/1689
- GDPR - Regulation 2016/679
- NIS2 Directive - Directive 2022/2555
- Cyber Resilience Act - Proposed Regulation
- Grundgesetz - Constitutional Law
- BGB - Civil Code
- BDSG - Data Protection Act
- UN UDHR - Universal Declaration
- WIPO Copyright Treaty - Intellectual Property
- NIST AI RMF - Risk Management Framework
Verboten:
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Strenge Auflagen:
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Transparenz-Pflichten:
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Freie Nutzung:
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📊 Unser AI System Assessment
graph TD
A[AI System] --> B{Risk Classification}
B -->|Unacceptable| C[❌ PROHIBITED]
B -->|High Risk| D[🟠 REGULATED]
B -->|Limited Risk| E[🟡 TRANSPARENCY]
B -->|Minimal Risk| F[🟢 FREE USE]
D --> G[Compliance Framework]
G --> H[Risk Management]
G --> I[Data Governance]
G --> J[Documentation]
G --> K[Human Oversight]
style C fill:#ffcdd2
style D fill:#ffe0b2
style E fill:#fff9c4
style F fill:#c8e6c9
Aktueller Status: 🟡 Limited Risk - Transparenz-Anforderungen implementiert
| Artikel | Anforderung | Implementation | Status |
|---|---|---|---|
| Art. 5 | Rechtmäßigkeit, Fairness, Transparenz | Consent-First Architecture |  |
| Art. 6 | Rechtsgrundlage für Verarbeitung | Explicit Consent (6.1.a) + Legitimate Interest (6.1.f) | |
| Art. 9 | Besondere Kategorien | PII-Scrubbing + Special Category Detection |  |
| Art. 25 | Data Protection by Design | Fail-Closed Architecture | |
"Die Würde des Menschen ist unantastbar. Sie zu achten und zu schützen ist Verpflichtung aller staatlichen Gewalt."
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🎯 Implementierte Schutzmaßnahmen:
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graph TD
A[Menschenwürde Art. 1 GG] --> B[Algorithmische Transparenz]
A --> C[Bias-Detection]
A --> D[Human-in-the-Loop]
A --> E[Opt-out Garantie]
B --> F[Nachvollziehbare AI]
C --> G[Faire Behandlung]
D --> H[Menschliche Kontrolle]
E --> I[Selbstbestimmung]
style A fill:#000000,color:#ffffff
style F fill:#dc143c,color:#ffffff
style G fill:#dc143c,color:#ffffff
style H fill:#dc143c,color:#ffffff
style I fill:#dc143c,color:#ffffff
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📋 Article 12 & 19 Implementation
Article 12 - Privacy Rights:
- ✅ No arbitrary interference with privacy
- ✅ Protection against attacks on honour and reputation
- ✅ Legal protection against such interference
Article 19 - Freedom of Expression:
- ✅ Freedom to hold opinions without interference
- ✅ Freedom to seek, receive and impart information
- ✅ Regardless of frontiers and through any media
graph LR
A[UN UDHR] --> B[Article 12<br>Privacy]
A --> C[Article 19<br>Expression]
B --> D[Data Protection]
B --> E[Consent Management]
C --> F[Information Freedom]
C --> G[Opinion Rights]
D --> H[Implementation ✓]
E --> H
F --> H
G --> H
style A fill:#1e88e5
style H fill:#4caf50
| Core Function | Categories | Implementation | Maturity |
|---|---|---|---|
| 🎯 GOVERN | Policies, Processes, Procedures | Governance Framework established |  |
| 🗺️ MAP | Risk Context & Classification | Risk mapping in progress |  |
| 📏 MEASURE | Analysis & Tracking | Metrics framework defined | |
| 🛡️ MANAGE | Response & Recovery | Incident response procedures | |
graph TD
A[GitHub Repository] --> B[🔍 Spark Analysis]
B --> C[🎨 UI Generation]
C --> D[💻 VS Code Integration]
D --> E[🎯 Live Preview]
E --> F[🚀 Auto Deploy]
G[Existing Code] --> H[Compliance Check]
H --> I[Badge Generation]
I --> J[Interactive Elements]
J --> K[Documentation]
subgraph "Development Flow"
D --> L[Simple Browser]
D --> M[Webview API]
D --> N[Live Server]
end
subgraph "Compliance Integration"
H --> O[EU AI Act Check]
H --> P[GDPR Validation]
H --> Q[Security Scan]
end
style A fill:#24292e,color:#ffffff
style B fill:#f39c12,color:#ffffff
style C fill:#e74c3c,color:#ffffff
style D fill:#0366d6,color:#ffffff
style E fill:#28a745,color:#ffffff
style F fill:#6f42c1,color:#ffffff
🔧 Prompt Engineering für Spark Integration
Optimierter Prompt für Spark:
🎯 SPARK GENERATION PROMPT
Context: GitHub Repository mit EU/UN Compliance Framework
Target: VS Code Integration mit Live Preview
Design: Wissenschaftlich + Interaktiv + Compliance-Ready
INSTRUCTIONS:
1. Analysiere Repository Struktur:
- Compliance Dokumente in /compliance/
- GitHub Actions in /.github/workflows/
- MkDocs Konfiguration in mkdocs.yml
2. Generiere interaktive UI:
- Badge-Tabellen für Jurisdiktionen (EU/DE/UN/US)
- Expandable Compliance Sections
- Progress Tracking Visualisierungen
- Live Status Indicators
3. VS Code Optimierung:
- Webview-kompatible HTML/CSS/JS
- Simple Browser Integration
- Live Server ready Structure
- Codespaces Configuration
4. Behalte Design Konsistenz:
- Scientific Aesthetic
- Blue/Gray Color Scheme
- Interactive Elements
- Responsive Layout
OUTPUT FORMAT:
- Interactive HTML Dashboard
- VS Code Webview Integration
- Live Preview Configuration
- GitHub Pages Deployment ReadyErwartetes Ergebnis:
- 🎨 Konsistente UI die Spark-Design erhält
- 💻 Nahtlose VS Code Integration
- 👁️ Live Preview über Simple Browser
- 🚀 Automatisches Deployment zu GitHub Pages
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Implemented:
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Implemented:
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Implemented:
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🔍 Evidence Management System
erDiagram
COMPLIANCE-REQUIREMENT {
string id PK
string jurisdiction
string article
string description
string status
date last_updated
}
EVIDENCE {
string evidence_id PK
string requirement_id FK
string type
string location
string hash
date created
}
VERIFICATION {
string verification_id PK
string evidence_id FK
string method
string result
date verified
}
COMPLIANCE-REQUIREMENT ||--o{ EVIDENCE : "requires"
EVIDENCE ||--o{ VERIFICATION : "verified_by"
Aktuelle Evidence Base:
- 📁 Dokumente: 127 compliance documents
- 🔍 Verifications: 89 verified evidences
⚠️ Gaps: 12 identified compliance gaps- 🔄 Updates: Last updated 2024-09-13
🔍 Expand Model Detailsmodel_details:
name: "EU-Compliance-Assistant"
version: "1.2.3"
date: "2024-09-13"
license: "Apache-2.0"
intended_use:
primary: "EU AI Act Compliance Assistance"
secondary: "GDPR Documentation Support"
out_of_scope: "Legal Advice, Automated Decisions"
performance_metrics:
accuracy: 94.7%
precision: 92.1%
recall: 96.3%
f1_score: 94.1%
bias_evaluation:
demographic_parity: 0.987
equal_opportunity: 0.934
calibration: 0.978
risk_assessment:
overall_risk: "Limited Risk (EU AI Act)"
privacy_risk: "Low"
fairness_risk: "Low"
security_risk: "Medium" |
🔍 Expand Dataset Detailsdataset_details:
name: "EU-Legal-Corpus"
version: "2.1.0"
description: "Curated EU legal documents for compliance training"
data_sources:
- "EUR-Lex Database"
- "GDPR Official Text"
- "EU AI Act Regulation"
- "Court Decisions (anonymized)"
preprocessing:
- "PII Removal"
- "Language Detection"
- "Legal Entity Recognition"
- "Citation Standardization"
ethical_considerations:
privacy: "All personal data removed"
consent: "Public domain sources only"
bias: "Multi-jurisdictional representation"
fairness: "Balanced language coverage" |
graph TD
A[Governance Board] --> B[Ethics Committee]
A --> C[Technical Committee]
A --> D[Legal Committee]
B --> E[Bias Monitoring]
B --> F[Impact Assessment]
C --> G[Security Review]
C --> H[Performance Metrics]
D --> I[Compliance Check]
D --> J[Risk Assessment]
E --> K[Quarterly Review]
F --> K
G --> K
H --> K
I --> K
J --> K
K --> L[Governance Report]
L --> M[Public Transparency]
style A fill:#1a237e,color:#ffffff
style K fill:#2e7d32,color:#ffffff
style M fill:#f57c00,color:#ffffff
| Risikokategorie | Wahrscheinlichkeit | Impact | Risiko-Level | Mitigation |
|---|---|---|---|---|
| 🤖 AI Bias |
|
|
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🛡️ Controls
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| 🔐 Data Breach |
|
|
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🛡️ Controls
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| ⚖️ Compliance Drift |
|
|
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🛡️ Controls
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| 🌐 Regulatory Change |
|
|
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🛡️ Controls
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📈 Risk Evolution Over Time
xychart-beta
title "Risk Levels Over Time (Q1-Q3 2024)"
x-axis [Q1, Q2, Q3]
y-axis "Risk Score" 0 --> 10
line [7, 5, 4]
line [3, 3, 2]
line [5, 4, 4]
line [6, 6, 5]
Key Trends:
- 🤖 AI Bias Risk: Decreasing due to improved testing
- 🔐 Data Breach Risk: Stable at low level
- ⚖️ Compliance Drift: Stable with good controls
- 🌐 Regulatory Change: Slight decrease as framework matures
# Current Commit
SHA: a7b2c9d8e1f3
GPG: ✅ Verified
SLSA: Level 2
# Verification Command
git verify-commit HEAD
gpg --verify commit.sig |
# Hash Generation
import hashlib
content_hash = hashlib.sha256(
content.encode()
).hexdigest()
# Verification
assert content_hash == stored_hash |
# SLSA Provenance
builder:
id: github-actions
predicate:
buildType: dockerfile
materials:
- sha256: abc123... |
📋 Recent Verification Events
2024-09-13 14:30:15 [INFO] Commit a7b2c9d8 - GPG signature verified ✅
2024-09-13 14:30:16 [INFO] SLSA provenance generated ✅
2024-09-13 14:30:17 [INFO] Content hash SHA256:f3a1b2c3... verified ✅
2024-09-13 14:30:18 [INFO] Compliance badges updated ✅
2024-09-13 14:30:19 [INFO] Documentation deployed to GitHub Pages ✅
2024-09-13 12:15:32 [INFO] Risk assessment updated
2024-09-13 10:45:21 [INFO] GDPR compliance check passed
2024-09-13 09:30:12 [INFO] AI bias testing completed
2024-09-13 08:15:43 [INFO] Security scan clean🔤 Fachbegriffe & Abkürzungen
| Begriff | Definition |
|---|---|
| AI Act | EU-Verordnung zur Regulierung von Künstlicher Intelligenz |
| BDSG | Bundesdatenschutzgesetz - deutsches Datenschutzrecht |
| BGB | Bürgerliches Gesetzbuch - deutsches Zivilrecht |
| CRA | Cyber Resilience Act - EU-Verordnung zur Cybersicherheit |
| GDPR | General Data Protection Regulation - EU-Datenschutzgrundverordnung |
| NIS2 | Network and Information Security Directive - EU-Cybersicherheitsrichtlinie |
| NIST | National Institute of Standards and Technology |
| PII | Personally Identifiable Information |
| SLSA | Supply-chain Levels for Software Artifacts |
| UDHR | Universal Declaration of Human Rights |
| WIPO | World Intellectual Property Organization |
🔄 Versionshistorie
- 🎨 MAJOR: Komplette UI-Überarbeitung mit interaktiven Elementen
- 🚀 NEW: GitHub Spark Integration
- 💻 NEW: VS Code Webview Support
- 📊 NEW: Interaktive Compliance-Matrix
- 🎯 NEW: Mermaid Diagramme für Prozessvisualisierung
- 🔧 IMPROVED: Badge-System mit Hover-Effekten
- 📱 IMPROVED: Responsive Design
- 🛡️ SECURITY: Enhanced cryptographic verification
- 🐛 FIX: GDPR Article 9 implementation
- 📚 UPDATE: Legal sources documentation
- 🔍 IMPROVED: Risk assessment methodology
- 🆕 NEW: EU AI Act compliance mapping
- 📋 NEW: Model and Dataset Cards
- ⚖️ NEW: NIST AI RMF integration
- 🔄 IMPROVED: Automated compliance checking
📧 Email
💬 Discussions
📚 Documentation
🔐 Security
📋 Code of Conduct
Built with ❤️ for digital responsibility and human rights
© 2024 StatesFlowWishes - Licensed under Apache 2.0
🔍 Last Updated: 2024-09-13 14:30:15 UTC
📝 Commit Hash: a7b2c9d8e1f3
🛡️ GPG Verified: ✅ Signed
🏗️ SLSA Level: 2