China facial image criminality inference
Updated: October 2021
Researchers at Shanghai Jiao Tong University have released the results (pdf) of research that suggests that software can automatically detect with 85.5% certain that a human is a criminal by analysing their facial features.
The results, which indicate that people with smaller mouths, curvier upper lips and closer-set eyes are more likely to be criminals, has resulted in accusations of inaccuracy and bias, and the researchers of conducting phrenology and pseudoscience.
In 2020, a similar study by researchers at Harrisburg University had to be withdrawn after an academic and industry backlash.
Developer: Xiaolin Wu, Xi Zhang
Purpose: Recognise/predict criminality
Technology: Facial analysis
Issue: Accuracy/reliability; Bias/discrimination - race, gender, age, income; Pseudoscience