Mind Matters Natural and Artificial Intelligence News and Analysis

TagIBM Watson (in medicine)

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-stockpack-adobe-stock
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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Artificial intelligence concept. Robotic hand is holding human brain. 3D rendered illustration.

Failed Prophecies of the Big “AI Takeover” Come at a Cost

Like IBM Watson in medicine, they don’t just fail; they take time, money, and energy from more promising digital innovations

Surveying the time line of prophecies that AI will take over “soon” is entertaining. At Slate, business studies profs Jeffrey Funk and Gary Smith offer a whirlwind tour starting in the 1950s, with stops along the way at 1970 (“In from three to eight years we will have a machine with the general intelligence of an average human being”) and at 2014: In 2014, Ray Kurzweil predicted that by 2029, computers will have human-level intelligence and will have all of the intellectual and emotional capabilities of humans, including “the ability to tell a joke, to be funny, to be romantic, to be loving, to be sexy.” As we move closer to 2029, Kurzweil talks more about 2045. Jeffrey Funk and…