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.
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Amazon's head of worldwide sustainability talks the company's push to net zero carbon emissions by 2040 and investing in companies that are committed to a low-carbon economy.
Docusign continues to thrive while the pandemic impacts nearly every industry. The company plans to expand its service to document management and preparation.
Cheddar's Need2Know Podcast for Tues., June 23, 2020.
Cheddar's Need2Know Podcast for Mon., June 22, 2020.
Apple is closing 11 stores in Arizona, Florida, North Carolina and South Carolina that it had reopening just a few weeks ago.
Apple is closing 11 stores in Arizona, Florida, North Carolina and South Carolina that it had reopening just a few weeks ago.
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Derrick Johnson, president and CEO of the NAACP, called for actions like an advertising boycott of Facebook for its hands-off approach to allowing racist and racially-charged posts to proliferate.
