Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting

1. 1Create an evaluation card template to organize AI evaluation results
2. 2Use the template to report results from leaderboards, model cards, and benchmark papers
3. 3Apply evaluation cards to identify omitted information and trace aggregate claims to underlying evidence
4. 4Configure evaluation cards to compose with other reporting tools and cover the entire evaluation lifecycle
5. 5Test the effectiveness of evaluation cards in improving the interpretability of AI evaluation results

Data scientists and AI researchers can benefit from using evaluation cards to standardize reporting and facilitate comparison of results across different sources

💡 Evaluation cards provide a consistent and interpretable layer for AI evaluation reporting, enabling reliable comparison of results across sources

📊 Improve AI evaluation reporting with evaluation cards! 📈