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Date
Sep092025
September
09
Sep
9
09
2025
Time
07:00PM
Locale
Richardson, TX and Online
Venue
UT Dallas, Cecil H. Green Hall (GR 4.428)

Robert J. Marks to Speak on Artificial Intelligence at University of Texas at Dallas

Robert J. Marks, Senior Fellow and Director of the Walter Bradley Center for Natural and Artificial Intelligence, will be speaking at the University of Texas at Dallas on “Non-Computable You: What You Do That AI Never Will.” This talk will draw from the arguments made in his book, Non-Computable You, which explores the limits of artificial intelligence and why certain uniquely human capacities can never be replicated by machines. There will be opportunity for Q&A following the lecture.

The event will be hosted by the local Reasonable Faith chapter, and is open and free to the public. If you are in the Dallas area, we encourage you to stop by UTD for an insightful and engaging evening!

When

Tuesday, September 9, 2025
7:00 PM

Where

The University of Texas at Dallas, Cecil H. Green Hall (GR 4.428)
800 W. Campbell Road
Richardson, TX 75080

Also available via livestream here.

For more information, visit the Reasonable Faith webpage or contact the local chapter at reasonablefaith.utd@gmail.com.

Speakers

Robert J. Marks II

Director, Senior Fellow, Walter Bradley Center for Natural & Artificial Intelligence
Robert J. Marks Ph.D. is Senior Fellow and Director of the Bradley Center and is Distinguished Professor of Electrical and Computer Engineering at Baylor University. Marks is a Fellow of both the Institute of Electrical and Electronic Engineers (IEEE) and Optica (formerly the Optical Society of America). He was the former Editor-in-Chief of the IEEE Transactions on Neural Networks and is the current Editor-in-Chief of BIO-Complexity. Marks is author of the books Non-Computable You: What You Do That Artificial Intelligence Never Will Never Do and The Case For Killer Robots. He is co-author of the books For a Greater Purpose: The Life and Legacy of Walter BradleyNeural Smithing: Supervised Learning in Feedforward Artificial Neural Networks and Introduction to Evolutionary Informatics. For more information, see Dr. Marks’s expanded bio.