Mind Matters Natural and Artificial Intelligence News and Analysis

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iot smart automotive Driverless car with artificial intelligence combine with deep learning technology. self driving car can situational awareness around the car, letting it navigate itself 360 degree

When AI Fails, the Results Are Sometimes Amusing. Sometimes Not.

Robert J. Marks, Justin Bui, and Samuel Haug examine five instances where AI went wrong, sometimes on the world stage

Even if artificial general intelligence (AGI) could be achieved, a problem looms: The more complex a system is, the more can go wrong. If a computer could really match human thinking, a great deal could go wrong. In “When AI goes wrong” (podcast 160), Walter Bradley Center director Robert J. Marks is joined once again by members of his research group, Justin Bui and Samuel Haug, who is a PhD student in computer and electrical engineering. The topic is, what happens if AI starts behaving in bizarre and unpredictable ways? https://episodes.castos.com/mindmatters/f5d26d44-cb33-4736-bc75-f95bd8f3ae5f-Mind-Matters-Episode-160-Haug-and-Bui-Episode-2-rev1.mp3 A partial transcript and notes, Show Notes, and Additional Resources follow. Robert J. Marks: Okay. I want to start out with Paul Harvey’s The Rest of the Story. Either…

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Bad News for Artificial General Intelligence

The problem with complex systems is that a lot can go wrong. It turns out that the number of potential problems grows exponentially as you add more factors to a system. Justin Bui and Samuel Haug discuss contingencies and artificial general intelligence with Robert J. Marks. Show Notes 01:10 | Introducing Justin Bui and Sam Haug 01:28 | Exponential Explosion…