Publication/Creation Date

July 26 2018

Creators/Contributors

James Vincent (creator)
Joy Buolamwini (contributor)
Clare Garvie (contributor)
Ruchir Puri (contributor)
Elke Oberg (contributor)
Patrick Grother (contributor)
Brian Brackeen (contributor)
Massachusetts Institute Of Technology (MIT) (contributor)
MIT Media Lab (contributor)
Georgetown Law School (contributor)
Google Inc. (contributor)
IBM (contributor)
Amazon, Inc. (contributor)
Cognitec (contributor)
National Institute Of Standards And Technology (NIST) (contributor)
Kairos (contributor)
Microsoft (contributor)

Description

Facial recognition is becoming part of the fabric of everyday life. You might already use it to log in to your phone or computer, or authenticate payments with your bank. In China, where the technology is more common, your face can be used to buy fast food, or claim your allowance of toilet paper at a public restroom. And this is to say nothing of how law enforcement agencies around the world are experimenting with facial recognition as tool of mass surveillance.

But the widespread uptake of this technology belies underlying structural problems, not least the issue of bias. By this, researchers mean that software used for facial identification, recognition, or analysis performs differently based on the age, gender, and ethnicity of the person it’s identifying.

Augments

Testing, Recognizing, Challenging

Technology Keywords

Artificial Intelligence (AI), Machine Learning, Algorithms , Facial Recognition , Facial Analysis, Data, Deep Learning, Ambient Interaction, Cameras, Wearable Cameras

Keywords

Bias, Discrimination, Gender, Racism, Ethics, Critical Thinking, Surveillance, Privacy, Social Issues, Law, Controversy, Diversity, Accuracy, Crime, Public Space, Government, Peoples Of Color, Ethnicity

Marketing Keywords

IBM, Microsoft, Face++, Google, IBM Watson, Amazon, Amazon Rekognition, Cognitec, Face Recognition Vendor Test (FRVT), Kairos

Source

https://www.theverge.com/2018/7/26/17616290/facial-recognition-ai-bias-benchmark-test