On today’s show we talk with Alex Huth, assistant professor of neuroscience and computer science at The University of Texas at Austin, and Ph.D. student Jerry Tang about a new system that can read a person’s thoughts in real time and produce a stream of continuous text. The system they developed, called a semantic decoder, relies in part on the kind of AI model behind ChatGPT. It might one day help people who are mentally conscious yet unable to physically speak, such as those debilitated by strokes, to communicate intelligibly again. The scientists behind it are also wrestling with thorny issues this technology brings up, concerning privacy and the ethical use of AI.

Show Notes

If you liked this episode, check out our earlier episode featuring Alex Huth talking about an earlier iteration of this research.

Through the Good Systems initiative, The University of Texas at Austin is bringing together researchers from a broad range of disciplines to explore ways to ensure that artificial intelligence develops in a way that is beneficial, not detrimental, to humanity. Learn more about Good Systems here.

Episode Credits

Our theme music was composed by Charlie Harper

Other music for today’s show was produced by: Podington Bear

About Point of Discovery

Point of Discovery is a production of the University of Texas at Austin's College of Natural Sciences and is a part of the Texas Podcast Network. The opinions expressed in this podcast represent the views of the hosts and guests, and not of The University of Texas at Austin. You can listen via Apple Podcasts, Spotify, RSS, Amazon Podcasts, and more. Questions or comments about this episode or our series in general? Email Marc Airhart.

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