加入 getAbstract 阅读摘要

Facial Recognition

加入 getAbstract 阅读摘要

Facial Recognition

The controversial and nearly ever-present technology that could replace the fingerprint

The California Sunday Magazine,

15 分钟阅读
5 个要点速记
音频和文本

看看什么内容？

Facial recognition technology is troubling, ubiquitous and often unregulated.

  • 0.5×
  • 0.75×
  • 1×
  • 1.25×
  • 1.5×
  • 1.75×
1×

Editorial Rating

9

Qualities

  • Comprehensive
  • Applicable
  • Eye Opening

Recommendation

Something like facial recognition technology was created 100 years ago by a French police officer. Now, it’s become omnipresent and mostly unregulated. The facial recognition technology industry is booming and expected to grow to $9.7 billion by 2022, but its technologies raise concerns about privacy and tend to succumb to racial stereotypes. This portfolio of illuminating articles compiled by Meher Ahmad, Adrian Chen, Chris Outcalt and Joy Shan for The California Sunday Magazine includes the viewpoints of people who use facial recognition technology, and how, and why.

 

Summary

Some form of facial recognition technology goes back to the 19th century, but after the September 11, 2001 terrorist attacks it became ubiquitous.

The first thing that might be called facial recognition technology emerged in France in the late 19th century. It consisted mostly of photographic portraits and measurements meant to help law enforcement officials identify criminals. By the 1960s, facial recognition systems evolved to include using human features to teach computers to recognize faces. Today, computers can teach themselves to recognize faces.

The September 11, 2001 terrorist attacks made facial recognition technologies suddenly more attractive, especially for law enforcement, but its use of facial recognition technology has significant potential downsides. Whether they use facial recognition systems for national border protection or policing city streets, law enforcement officials have no way of insuring that the technology doesn’t encode familiar human prejudices. The data that forms the basis of facial recognition algorithms may suffer from lack of diversity. For this and other reasons, several...

About the Authors

Meher Ahmad is Associate Editor at The California Sunday Magazine, where Joy Shan is an associate. Blogger Adrian Chen is a former New Yorker staff writer. Chris Outcalt is a freelance writer.

Comment on this summary