Fecht Guru

AI Transparency & EU AI Act Compliance

Last Updated: April 6, 2026

EU AI Act Regulation: 2024/1689

1. AI System Classification

Risk Level: Minimal Risk

This AI system is classified as minimal risk under Article 5 and Annex III of the EU AI Act. It is an educational chatbot for Historical European Martial Arts (HEMA) and does not fall into prohibited or high-risk categories.

2. Purpose and Intended Use

Primary Purpose: Provide information and answer questions about Historical European Martial Arts, including historical fencing treatises, techniques, terminology, and historical context.

Intended Users: HEMA practitioners, researchers, historians, martial artists, and anyone interested in learning about historical European swordsmanship.

NOT Intended For:

  • Professional medical advice or injury diagnosis
  • Legal advice or formal historical authentication
  • Employment decisions or educational assessments
  • Critical decision-making without human verification

3. AI Provider Information

3.1 WebLLM (Local Browser-Based Models)

Classification: General-Purpose AI Model

Data Processing: 100% Local (in your browser via WebGPU)

Models Available:

  • Llama-3.2-1B-Instruct (1 billion parameters)
  • Llama-3.2-3B-Instruct (3 billion parameters)
  • Hermes-2-Pro-Llama-3-8B (8 billion parameters)
  • Hermes-2-Pro-Mistral-7B (7 billion parameters)

Privacy: No data sent to external servers. Model files downloaded once and cached locally.

Training Data Cutoff: Varies by model (2023-2024)

Capabilities: General text generation, historical knowledge, function calling (select models)

Limitations:

  • Requires WebGPU-compatible browser (Chrome 113+, Edge 113+, Firefox 121+)
  • Large initial download (1-8 GB per model)
  • Performance depends on your device's GPU
  • May produce less accurate responses than larger cloud models

Provider Documentation: webllm.mlc.ai

3.2 Azure AI Foundry (EU Cloud Provider)

Classification: General-Purpose AI Model (GPAI)

Data Processing: Cloud-based (European Union — Sweden Central)

Models Available: Model availability is based on Azure AI Foundry project deployments and may change over time. Currently deployed OpenAI models include GPT-series models with function calling support.

Rate Limit: Daily usage budget per user — number of requests varies by model (more capable models consume more budget). Current quota is visible in Settings.

Capabilities:

  • Advanced natural language understanding and reasoning
  • Function calling for on-demand knowledge retrieval
  • Large context windows
  • Multilingual support

Limitations:

  • Knowledge cutoff: Information only up to model training cutoff date
  • May generate plausible-sounding but incorrect information ("hallucinations")
  • Cannot access real-time information or external sources beyond provided context
  • Requires internet connection

Data Retention: Azure AI Foundry processes data in real-time for inference and does not retain prompt or completion data beyond the API request lifecycle, unless required by law.

EU AI Act Compliance: OpenAI is registered as a GPAI model developer and subject to EU AI Act Articles 53–56. Hosting on Azure AI Foundry in the EU (Sweden Central) strengthens data residency compliance. See Microsoft DPA.

Provider Documentation:

4. How the AI System Works

4.1 Basic Operation

  1. You type a question about HEMA
  2. The system may call specialized functions to retrieve relevant historical context
  3. Your question + retrieved context is sent to the selected AI model
  4. The AI generates a response based on its training and provided context
  5. The response is streamed back to you in real-time

4.2 Function Calling (Context Retrieval)

To improve accuracy and reduce token usage, the system uses function calling to retrieve specific information on-demand:

  • search_treatise_content: Semantic search across treatise content with synonym expansion
  • get_source_info: Retrieves biographical and historical information about fencing masters and manuscripts
  • list_available_sources: Lists available treatises and sources in the knowledge base
  • compare_sources: Compares techniques or concepts across different treatises and traditions
  • web_search (optional): Retrieves current web results via the Brave Search API (USA) — only active when configured. See Privacy Policy §5.5 for details.

Benefit: This approach reduces token usage by 50-70% and improves response accuracy by providing relevant historical context only when needed.

4.3 Knowledge Sources

The AI system's knowledge about HEMA is derived from:

  • Local database: Curated treatise content with semantic (vector) search across masters, manuscripts, and manuscript content
  • Public domain historical sources
  • AI model training data (see Section 3.2 for current cutoff dates)
  • Web search (optional, when enabled): Current web results via Brave Search API

5. Accuracy and Limitations

⚠️ Important Accuracy Disclaimer

AI systems can make mistakes. This includes:

  • Hallucinations: Generating plausible-sounding but factually incorrect information
  • Misinterpretations: Incorrectly interpreting historical texts or martial arts terminology
  • Outdated Information: Training data cutoffs mean recent research may not be reflected
  • Contextual Errors: Mixing concepts from different historical periods or fencing traditions
  • Translation Issues: Historical treatises are often in German, Italian, or Latin - translations may vary

Always verify information with:

  • Original historical sources and primary manuscripts
  • Qualified HEMA instructors and recognized experts
  • Peer-reviewed academic research
  • Multiple independent sources

6. Safety Considerations

🛡️ Critical Safety Warning

DO NOT practice martial arts techniques without proper supervision.

  • Always practice under qualified HEMA instructors
  • Use appropriate safety equipment (masks, gloves, protective gear)
  • Ensure adequate training space and controlled environment
  • Start with basic techniques and progress gradually
  • Understand that historical martial arts carry inherent injury risks

We are not liable for injuries resulting from practicing techniques discussed in AI-generated responses.

7. Human Oversight

This system operates as a human-in-the-loop AI system:

  • User Control: You choose when to use the system and can stop generation at any time
  • Critical Thinking Required: Users must evaluate all responses for accuracy and applicability
  • Expert Consultation: Users are expected to consult qualified instructors for practical application
  • No Autonomous Decisions: The system provides information only; all decisions are made by users

8. Transparency Obligations (EU AI Act Article 50)

In compliance with Article 50 of the EU AI Act, we inform you that:

  1. You are interacting with an AI system. This is disclosed via banner notification on first use and throughout the interface.
  2. AI-generated content is clearly marked. All responses are identified as AI-generated in the chat interface.
  3. System capabilities and limitations are explained. This page provides comprehensive information about AI models, accuracy, and limitations.
  4. Data processing is transparent. See our Privacy Policy for details on data collection, processing, and your rights.

9. Your Rights and Responsibilities

9.1 Your Rights

  • Right to Information: Access detailed information about AI systems used (this page)
  • Right to Choose: Select between local (WebLLM) or cloud (Azure AI Foundry) AI providers
  • Right to Privacy: See our Privacy Policy for GDPR rights
  • Right to Complain: Lodge complaints with your national data protection authority

9.2 Your Responsibilities

  • Verify Information: Always fact-check AI responses with authoritative sources
  • Practice Safely: Only practice techniques under qualified supervision
  • Use Appropriately: Do not rely on AI for critical decisions without human expert review
  • Consult Experts: Discuss any AI-generated information with qualified HEMA instructors before practical application

10. Accountability and Governance

Service Operator:

  • Company: Falck Studios AS
  • Organization Number: 837 347 602 (Brønnøysundregistrene)
  • Location: Norway

Provider Responsibility:

  • Microsoft (via Azure AI Foundry) is the infrastructure provider; OpenAI remains the GPAI model developer responsible for their models' compliance
  • WebLLM/MLC provide local model implementations
  • Falck Studios AS is the deployer responsible for system integration and user interface

Governance Structure:

  • Continuous monitoring and improvement of AI systems
  • Regular updates to documentation and compliance materials
  • User feedback collection and issue resolution

11. Contact and Complaints

For questions or concerns about our AI system, please contact Falck Studios AS:

For additional guidance:

  • Technical Issues: Consult with your HEMA instructor or community for guidance on interpreting AI responses
  • Privacy Questions: See Privacy Policy for data processing information and rights
  • Data Protection Authority: You may lodge complaints with your national DPA (see EDPB directory)

12. Updates and Changes

This AI Transparency document is updated when:

  • New AI providers or models are added
  • EU AI Act guidance changes
  • System capabilities are significantly modified
  • Accuracy or safety considerations require clarification

Check the "Last Updated" date at the top of this page. Material changes will be announced to users via the application interface.

13. Additional Resources