1. Overview

TrainHQ is committed to complying with the European Union Artificial Intelligence (AI) Act. This document outlines how TrainHQ ensures compliance while utilizing Microsoft Azure and Amazon Web Services (AWS) European cloud instances for AI model development, deployment, and operations.

2. Cloud Infrastructure

TrainHQ utilizes cloud services exclusively from:

- Microsoft Azure (European Instances)

- Amazon Web Services (AWS) (European Instances)

All data processing and storage related to AI operations occur within these European data centers to ensure compliance with EU regulations, including GDPR and the AI Act.

3. AI Risk Classification

TrainHQ has classified its AI systems according to the EU AI Act risk framework:

- Minimal or No Risk: General-purpose AI tools for analytics and insights.

- Limited Risk: AI-based sales training with transparency mechanisms.

TrainHQ does not develop, deploy, or use AI systems classified as high-risk under the EU AI Act.

4. Compliance Measures

To ensure compliance with the AI Act, TrainHQ implements the following:

4.1 Risk Management

- Regular internal reviews of AI systems to ensure responsible usage.

- Continuous monitoring of AI outputs to prevent unintended biases or inaccuracies.

4.2 Data Governance

- Data stored and processed exclusively within the EU.

- Alignment with GDPR principles, ensuring lawful, fair, and transparent data processing.

- Use of high-quality third-party datasets, reviewed periodically for bias and accuracy.

4.3 Transparency and Documentation

- Third-party AI models deployed in limited-risk applications undergo extensive documentation.

- TrainHQ provides clear user guidelines explaining the AI system’s functions and limitations.

- End-users are informed when interacting with AI-driven features.

4.4 Human Oversight

- AI-driven insights are reviewed and interpreted by human decision-makers.

- Dedicated personnel monitor AI performance to ensure optimal function.

5. General-Purpose AI (GPAI) Compliance

For general-purpose AI models used within TrainHQ’s systems:

- Technical Documentation: Maintained for all deployed third-party models.

- Copyright Compliance: Third-party AI models are trained using legally sourced and appropriately licensed data.

- Training Data Transparency: TrainHQ relies on third-party AI providers for training data transparency and will update compliance measures as regulatory requirements evolve.

6. Implementation Timeline

TrainHQ aligns with the EU AI Act’s phased implementation:

- February 2, 2025: Compliance with prohibited AI practices.

- August 2, 2025: Compliance with general-purpose AI model requirements.

- August 2, 2026: Full compliance with all applicable AI Act obligations.

7. Conclusion

TrainHQ is fully committed to EU AI Act compliance, ensuring responsible AI development and deployment. By leveraging Microsoft Azure and AWS European instances, implementing robust governance mechanisms, and conducting regular reviews, TrainHQ maintains high ethical and legal standards in AI-driven technologies.