Model Documentation

Model documentation, also known as a model spec, is a targeted form of disclosure that helps users understand the capabilities, limitations, and operational characteristics of the underlying AI model. This practice improves transparency and enables informed use, particularly in high-stakes or complex settings.

Model documentation typically includes:

- Features, Capabilities, and Limitations
- Describes the tasks the model is designed to handle and identifies known weaknesses. This helps reduce over reliance and encourages users to apply the system appropriately.
- User Instructions
- Offers practical guidance for interpreting outputs, knowing when to defer to human review, and how to report problems or concerns.
- Data Usage and Privacy
- Explains how user data is collected, stored, and shared. This helps ensure compliance with privacy laws and promotes responsible data handling.

Best Practices for Providing Model Documentation

- Clear and Concise Language: Use simple, straightforward language that can be easily understood by all users. Avoid technical jargon that might confuse or mislead users.
- Regular Updates: Periodically review and update documentation to reflect changes in AI capabilities, regulatory requirements, and organizational policies. Ensure that the information provided remains accurate and relevant.
- Accessibility: Make documentation easily accessible to users at all points of interaction with the AI system.

- Increases Transparency and Trust
- Makes model operations visible to users and stakeholders, which supports informed decision-making and increases confidence in AI systems.
- Prevents Misuse and Overreliance
- Clearly defined limitations reduce the chance that users will apply the model in contexts where it is likely to fail or generate misleading outputs.
- Supports Regulatory and Ethical Compliance
- Helps organizations meet transparency requirements under AI regulations such as the EU AI Act or the NIST AI Risk Management Framework.

- Published the Model Cards
- Provide a link to or screenshot of a public-facing model cards specifications, including system purpose, limitations, and data handling policies.
- User Materials
- Show documentation or tools that appear when users first engage with the system, explaining its functionality and limitations.
- Privacy and Usage FAQ
- Include a sample FAQ section that outlines what data the system uses and how user inputs are stored or processed
- Update Logs
- Maintain version history to demonstrate that model documentation is kept current as system capabilities evolve.