The power of A.I. can reach deeper than just recommending which show to binge on Netflix. It can also be used to analyze millions of images to predict things like income, political leanings, and buying habits. Steve Lohr, Technology and Economics Reporter at The New York Times, joined us to discuss artificial intelligence's full potential when it comes to predictive analytics. Lohr's recent piece in The New York Times highlights a Stanford study that used 50 million images from Google Street View to give a glimpse of A.I.'s ability to gather data. He explains that researchers identified 22 million cars to draw conclusions about information such as which political candidate a particular zip code favored. The project took just 2 weeks to classify all the cars. In his piece, Lohr points out that without the help of AI, it would take human experts over 15 years to accomplish that task. This type of data collection raises concerns over privacy and issues of data access. He says most of predictive analysis has been used for commercial purposes and selling products. The use of data becomes scary when it becomes integrated into decisions such as hiring, he says, because the mistakes become more costly.

Share:
More In Technology
With Child Fraud on the Rise, Here's How to Protect Your Kids Online
More than one-third of children interact with devices before the age of five. This is the same age when we're reminding kids to not talk to strangers, but what about strangers lurking on the internet? Children are increasingly becoming prime targets for cyber fraud and it's important to teach them how to stay safe from online fraudsters. Richard Dufty, chief commercial officer at Arkose Labs, joins Cheddar News to discuss.
TikTok's Influence on Advertising
As TikTok grows in popularity, so does its ad revenue potential. Research firm Insider Intelligence forecasts the app's revenue will likely triple in 2022 to more than $11 billion, putting it past the sales of both Twitter and Snapchat combined. Cheddar News takes a closer look.
Deaf and Hard of Hearing Employees Lead the Way on Snapchat's New ASL Features
Snapchat has launched its first features to help users learn American Sign Language through its lenses and a game. The project was spearheaded by deaf and hard-of-hearing workers. Cheddar News was joined by Austin Vaday, software engineer at Snap, and his sign language interpreter, Jonathan Webb, to discuss the ASL Fingerspelling Lens and how the project came together. “We wanted to find a way to appropriately and properly educate the community so that folks can communicate with people like me using sign language," Vaday stated.
Sexual Assault in the Metaverse
Brittan Heller, founder of the Center for Digital Civil Rights and a fellow at the Atlantic Council, joins Cheddar News to discuss the rise of sexual assault in the metaverse.
Load More