General-Purpose AI Models: New Obligations Under the EU AI Act
Understanding the specific requirements for general-purpose AI models and foundation models.
The EU AI Act introduces specific obligations for general-purpose AI models (GPAIs), including large language models and foundation models.
What Qualifies as General-Purpose AI?
A GPAI model is defined as an AI model that:
- Can be used for multiple purposes
- Can be integrated into various systems
- Has significant generality
Examples: GPT-4, Claude, Gemini, Stable Diffusion
Obligations by August 2025
All GPAI Providers Must:
- Technical documentation: Comprehensive model documentation
- Information to downstream providers: Usage instructions and limitations
- Copyright compliance: Respect for copyright law
- Content policy: Publication of detailed training content summary
Systemic Risk Models (>10^25 FLOPs)
Additional requirements:
- Model evaluation and adversarial testing
- Serious incident tracking and reporting
- Cybersecurity protections
- Energy efficiency reporting
Documentation Requirements
Technical Documentation Must Include:
- Model architecture and training process
- Training data sources and selection criteria
- Model capabilities and limitations
- Computational resources used
- Testing and validation results
Information for Integrators:
- Integration guidelines
- Intended uses and restrictions
- Performance benchmarks
- Safety measures required
Practical Implementation
- Start documentation now - Retrofitting is difficult
- Implement monitoring systems for incident tracking
- Establish downstream communication channels
- Prepare for audits and compliance checks
Open Source Considerations
Open source models have limited exemptions:
- Exempt from some documentation requirements
- Must still comply with copyright
- Systemic risk obligations still apply if >10^25 FLOPs
The August 2025 deadline is approaching fast. Start preparing your GPAI compliance strategy today.
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