Welcome to our model ops card builder! Use this tool to bootstrap a model ops card which helps to enforce best practices in responsible model development. The tool helps align stakeholders on the objectives, use-cases of the model while acknowledging limitations and side effects. It should be used in combination with our Python toolkit.
The form should be filled with the input of product owners and developers and reviewed on a regular basis, let's get to it! ☕
There are 5 sections of the model card:
- Model Details
- Considerations
- Model Parameters
- Explainability Analysis
- Fairness Analysis
Note: We created this tool to improve the governance of artificial intelligence and data analytics (AIDA) models within the financial services industry. The tool was created as part of the Monetary Authority of Singapore (MAS) Veritas initiative to help companies assess and meet Fairness, Ethics, Accountability and Transparency (FEAT) principles. While we endeavour to keep all submitted data confidential, please do not submit any sensitive data.
For more information contact us at
[email protected]