Download the whitepaper series on bias in AI: Part 2
Avoiding bias through better data collection
Contents
- History of large scale image labeling
- Taxonomization and invisibile notions
- How to bias-proof your labeling
- Avoiding, identifying and addressing bias
- Iterations and Audits
… and more