Summary of Chatgpt and Biometrics: An Assessment Of Face Recognition, Gender Detection, and Age Estimation Capabilities, by Ahmad Hassanpour et al.
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities
by Ahmad Hassanpour, Yasamin Kowsari, Hatef Otroshi Shahreza, Bian Yang, Sebastien Marcel
First submitted to arxiv on: 5 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the capabilities of large language models like ChatGPT for biometric tasks, focusing on face recognition, gender detection, and age estimation. By crafting a prompting strategy to bypass ChatGPT’s safeguards, the study evaluates its performance in these areas. The results show that ChatGPT recognizes facial identities with high accuracy, detects gender with remarkable performance, and estimates age reasonably well. This research highlights the potential of large language models for biometric applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using computers to recognize people’s faces, figure out their gender, and guess how old they are. The computer program ChatGPT is really good at doing this stuff! Researchers made a special way to ask ChatGPT questions so it wouldn’t get confused. They found that ChatGPT can tell similar faces apart and even determine whether someone is male or female. It’s not perfect, but it gets better with time! |
Keywords
» Artificial intelligence » Face recognition » Prompting
