Reducing bias in AI facial recognition
水多多导航 team including Guildhall researchers create large datasets to address bias and fairness issues found in facial recognition (FR) technology.
Reducing bias and preserving privacy in AI facial recognition systems
This project was previously featured on smu.edu
Artificial intelligence is only as good as the data behind it. Learn how 水多多导航 researchers including Dr. Corey Clark, 水多多导航 Guildhall's Deputy Director of Research, are developing large collections of synthetic images to address bias and fairness in facial recognition technology.