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TagSam Haug

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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…

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Iron Law of Complexity: Complexity Adds But Its Problems Multiply

That’s why more complexity doesn’t mean more things will go right; without planning, it means the exact opposite. The math is scary

In “Bad news for artificial general intelligence” (podcast Episode 160), Justin Bui and Sam Haug from Robert J. Marks’s research group at Baylor University joined him for a look at how AI can go wrong — whether it’s an inconsequential hot weather story or imminent nuclear doom. Now, in Episode 161, they start by unpacking the significance of an ominous fact: When we increase complexity by adding things, we multiply the chances of things going wrong. Never mind getting an advanced machine to solve all our problems; it can’t solve its own: A partial transcript and notes, Show Notes, and Additional Resources follow. Robert J. Marks: I recently vetoed a family member’s suggestion that we put a lock on our…

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When AI Goes Wrong

AI must do what it is designed to do, but what if it doesn’t? What if AI begins behaving in bizarre and unpredictable ways? The more complex the system, the more that it can go wrong. Robert J. Marks discusses artificial general intelligence (AGI) with Justin Bui and Samuel Haug. Show Notes 00:37 | Introducing Justin Bui and Samuel Haug…