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AI for Social Good with Jinjun Xiong
Manage episode 386311043 series 3460582
Το περιεχόμενο παρέχεται από το University at Buffalo. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον University at Buffalo ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Jinjun Xiong was a young computer scientist working on AI technology at IBM when the company’s Watson computer famously beat the top human players on “Jeopardy!”. But while the rest of the world oohed and aahed, Xiong wondered if we should be using AI for a higher purpose—not to defeat humans, but to help them. Now a SUNY Empire Innovation Professor at the University at Buffalo and director of UB’s Institute for Artificial Intelligence and Data Science, Xiong is fully immersed in designing AI solutions for the betterment of society. In this episode of Driven to Discover, Xiong talks to host Cory Nealon about the epiphany that drove his career choices, the AI projects he’s most excited about at UB, and why he thinks people should stop freaking out about the downsides of AI and be more energized by its possibilities.
Credits:
Host: Cory Nealon
Guest: Jinjun Xiong
Writer: Laura Silverman
Production and editing by UB Video Production Group
Coming on Dec 3: Renowned urban planner Henry Louis Taylor Jr. is embarking on an ambitious project to transform a neighborhood on Buffalo’s East Side. The ultimate goal? Abolish health inequities, improve educational outcomes, increase access to good housing and generate community wealth. If his plan succeeds, it could be a model for cities nationwide.
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