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As AI voice cloning scams improve, researchers race for solutions

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Manage episode 422000132 series 1967887
Content provided by St. Louis Public Radio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by St. Louis Public Radio or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Telling AI-made audio apart from authentic human voices is getting harder, and that has experts and average people worried. A Washington University professor’s new program works to prevent voice cloning and deepfake scams that often target vulnerable people. Ning Zhang, an assistant professor of computer science and engineering at WashU, talks about how his DeFake program works and why artificial intelligence can be beneficial.
  continue reading

3634 episodes

Artwork
iconShare
 
Manage episode 422000132 series 1967887
Content provided by St. Louis Public Radio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by St. Louis Public Radio or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Telling AI-made audio apart from authentic human voices is getting harder, and that has experts and average people worried. A Washington University professor’s new program works to prevent voice cloning and deepfake scams that often target vulnerable people. Ning Zhang, an assistant professor of computer science and engineering at WashU, talks about how his DeFake program works and why artificial intelligence can be beneficial.
  continue reading

3634 episodes

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