Face recognition technology is becoming increasingly prevalent, and thus the ethical sourcing of face biometrics data used to train identity verification systems is a rising concern in the industry. Training datasets should feature a “nutrition label” which provides crucial information about its sources and characteristics to help businesses make informed decisions. Ethical procurement of face biometrics training data is not just a corporate responsibility; it's a societal imperative in an age where facial recognition touches so many aspects of our lives. AI Russ tells you more about how Generative AI (or ‘Good Fakes’) is the way forward.
Ripped off faces – How facial recognition systems should use fair, ethical sourced data
Entered in: ID Verification & KYC