‘Blurred face’ news anonymity gets an artificial intelligence spin

A research team from SFU’s School of Interactive Arts and Technology (SIAT) has come up with a way to replace the use of ‘blurring’ faces in news reports when anonymity is needed. The team's method uses artificial intelligence (AI) techniques that aim to improve visuals while amplifying emotions tied to the story.

SIAT professors Steve DiPaola and Kate Hennessy, together with Taylor Owen from UBC’s journalism school, received a Google/Knight Foundation grant to carry out the research. They presented the work to international journalists at a Journalism 360 demo event honoring grantees in New York on July 24, and the next day at a full conference held across the street from the New York Times headquarters.

“Our goal is to create a working technique that would be much better at conveying emotional and knowledge information than current anonymization techniques,” says DiPaola, a pioneer in AI/VR facial recognition processes.


Read the full story on SFU News.