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
Roku Shares Fall Amid Supply Chain Disruptions
Tuna Amobi, Director and Senior Equity Analyst at CFRA Research, joined Wake Up With Cheddar to break down the big takeaways from Roku's Q3 earnings report, as the company warns of further supply chain issues in the coming months.
Looking Towards the Future of the EV Market in China and U.S.
The EV market has risen up quickly and the country that leads the way is China. The country has seen company's like Xpeng emerge with their technological innovations as it tries to produce flying cars by 2024. Cheddar News was joined by Alexa St. John, Transportation Reporter at Insider to discuss all things EV market in China and if the United States can catch up.
Load More