Training Data Transparency: A Step-by-Step Guide to AB 2013 Documentation

The ultimate checklist for the Generative AI Training Data Transparency Act. 📝

Step 1: Inventory Your Data

You can't disclose what you don't know. Map out every dataset used in your training pipeline.

Step 2: Categorize

Group data into logical buckets: "Public Web Crawl," "Licensed Images," "Synthetic Text."

Step 3: Draft the Summary

Write a clear, high-level description for each category. Include the time period of collection.

Step 4: Publish

The summary must be easily accessible on your website. Don't hide it in the footer.

Conclusion

Documentation is now a product feature. Treat it with the same care as your code.