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ID the Future Podcasting on Intelligent Design and Evolution
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Computer Engineer Bob Marks Discusses the Perils and Promise of AI

Episode
1249
Guests
Robert J. Marks
Duration
00:20:27
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On this episode of ID the Future Dr. Robert J. Marks, Distinguished Professor of Electrical and Computer Engineering at Baylor University and former President of the IEEE Neural Networks Council, argues that computer programs cannot be genuinely creative. Computer programs also won’t be able to experience consciousness, he says, never mind all the media hype on this point. Marks concedes that a computer code can surprise us, as when a program playing the game Go makes a surprising move.

But when it does this, it’s following a rigorous algorithm that neatly explains the move. Marks says this isn’t true creativity. If the Go Program learned chess without programming for chess, or invented chess, that would be creative. Marks then defines creativity: “A computer program will be creative if it responds with an output that is inexplicable, that can’t be explained by the computer programmer.” Marks also discusses deep learning and computational neural networks, their promise and limitations. As for quantum computing, it will be dramatically faster but he insists it won’t provide a leap into consciousness. The episode concludes with a discussion of how automation and AI will impact the workplace over the next few decades.

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Robert J. Marks II

Director, Senior Fellow, Walter Bradley Center for Natural & Artificial Intelligence
Besides serving as Director, Robert J. Marks Ph.D. hosts the Mind Matters podcast for the Bradley Center. He 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 the Optical Society of America. He was Charter President of the IEEE Neural Networks Council and served as Editor-in-Chief of the IEEE Transactions on Neural Networks. He is coauthor of the books Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (MIT Press) and Introduction to Evolutionary Informatics (World Scientific). For more information, see Dr. Marks’s expanded bio.
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