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The Pareto Tradeoff — Choosing the Best of a Mixed Lot

Navigating the knowns and the unknowns, computer engineers must choose between levels of cost and risk against a background with some uncertainty

In the first part of podcast Episode 161, “Bad news for artificial general intelligence”, Robert J. Marks and colleagues Justin Bui and Sam Haug from his research group at Baylor University looked at a fundamental reality of complex systems: Complexity adds but its problems multiply. More advanced AI would be faster but capable of bigger and more complex goofs. That leads to the world of knowns and unknowns and the Pareto tradeoffs that enable us to make decisions about artificial intelligence. So now Dr. Marks begins by asking about the late Donald Rumsfeld‘s notion of the knowns and unknowns: https://episodes.castos.com/mindmatters/34ccf6d5-16b1-4de8-8a69-9737d78ba4b4-Mind-Matters-Episode-161-Haug-and-Bui-Episode-3-rev1.mp3 This portion begins at 15:15 min. A partial transcript and notes, Show Notes, and Additional Resources follow. Sam Haug: This…