ChatGPT and biometrics: an assessment of face recognition, gender
  detection, and age estimation capabilities
Ahmad Hassanpour Yasamin Kowsari Hatef Otroshi Shahreza Bian Yang Sebastien Marcel
This paper explores the application of large language models (LLMs), like
ChatGPT, for biometric tasks. We specifically examine the capabilities of
ChatGPT in performing biometric-related tasks, with an emphasis on face
recognition, gender detection, and age estimation. Since biometrics are
considered as sensitive information, ChatGPT avoids answering direct prompts,
and thus we crafted a prompting strategy to bypass its safeguard and evaluate
the capabilities for biometrics tasks. Our study reveals that ChatGPT
recognizes facial identities and differentiates between two facial images with
considerable accuracy. Additionally, experimental results demonstrate
remarkable performance in gender detection and reasonable accuracy for the age
estimation tasks. Our findings shed light on the promising potentials in the
application of LLMs and foundation models for biometrics.