How will artificial intelligence affect income inequality? | Julian Jacobs | TEDxBrownU

Is this time different? Artificial intelligence is capturing the curiosities, hopes, and fears of people all over the country. Will AI spur extraordinary improvements in security, healthcare, and convenience all while creating new industries, boosting US productivity, and improving quality of life? Or will AI cause millions of workers to become redundant, catalyze massive unemployment, and undermine the socio-economic fabric of American democracy? Born in Ithaca, New York, Julian is the Founding Editor in Chief of the Brown University Journal of Philosophy, Politics, and Economics (PPE) and a journalist. He has published more than 35 articles and essays in 15 publications and has conducted interviews with Bernie Sanders, David Cameron, Noam Chomsky, Peter Hitchens, Tom Perez, and Reza Aslan among others. For over a year, his work has focused on emerging technology and the effects of artificial intelligence on US income inequality and American democracy. His research on the topic is being used to support his senior thesis, which is being supervised by political economy scholar Mark Blyth. He has also worked as an intern at The Brookings Institution and in President Barack Obama's post-presidency office, where he supported the 44th President's correspondence, communications, and speechwriting teams. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

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