Mind Matters Natural and Artificial Intelligence News and Analysis

TagWinograd Schema

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AI Is Not Nearly Smart Enough to Morph Into the Terminator

Computer engineering prof Robert J. Marks offers some illustrations in an ITIF think tank interview

In a recent podcast, Walter Bradley Center director Robert J. Marks spoke with Robert D.Atkinson and Jackie Whisman at the prominent AI think tank, Information Technology and Innovation Foundation, about his recent book, The Case for Killer Robots—a plea for American military brass to see that AI is an inevitable part of modern defense strategies, to be managed rather than avoided. It may be downloaded free here. In this second part ( here’s Part 1), the discussion (starts at 6:31) turned to what might happen if AI goes “rogue.” The three parties agreed that AI isn’t nearly smart enough to turn into the Terminator: Jackie Whisman: Well, opponents of so-called killer robots, of course argue that the technologies can’t be…

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Dozens of Drones Swarm in the Cloudy Sky.

Robert J. Marks on Killer Robots

Robert J. Marks discusses AI and the military, autonomous weapons, and his book The Case for Killer Robots with hosts Robert D. Atkinson and Jackie Whisman from the Information Technology & Innovation Foundation (ITIF). Dr. Marks’ book The Case for Killer Robots is available at Amazon.com in print, audio and Kindle formats. For a limited time, the Bradley Center is…

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Teaching Computers Common Sense Is Very Hard

Those fancy voice interfaces are little more than immense lookup tables guided by complex statistics

Researchers at the Allen Institute for Artificial Intelligence (AI2) published a paper recently, deflating claims of rapid progress toward giving computers common sense.

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Superintelligent AI Is Still a Myth

Neither the old classical approaches nor the new data scientific angle can make any headway on good ol’ common sense

The official Winograd Schema Challenge, organized by Levesque and friends to see if AI could learn common sense, was retired officially in 2016 for the embarrassing reason that even the well-funded bleeding age Google Brain team performed poorly on a test set of a few hundred questions.

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Serious Investors Should Embrace the Stock Market Algos!

We can use computers’ inability to distinguish meaning from noise in data to our advantage

Computer algorithms are much, much better than humans at discovering statistical patterns but much, much worse than humans at discerning whether the patterns are meaningful. Wise investors can use the resulting blips to their advantage.

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Computers’ Stupidity Makes Them Dangerous

The real danger today is not that computers are smarter than us, but that we think computers are smarter than us

Many marketing decisions, medical diagnoses, and stock trades, loan and job applications, and election strategies are evaluated by computers. But, as my little experiment shows, the computer does not know whether a pattern is information or noise.

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Why an AI pioneer thinks Watson is a “fraud”

The famous Jeopardy contest in 2011 worked around the fact that Watson could not grasp the meaning of anything

Gary N. Smith explains that a computer’s inability to understand what “it” means in a sentence is because it doesn’t understand what any of the words in the sentence mean.

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Time Passes, Love Fades, But What Does “It” All Mean?

Gary Smith and Bob Marks on AI's incomprehension, from IBM's Watson to the Clinton campaign's Ada

Gary N. Smith and Robert J. Marks discuss the inability of AI to understand puns, lyrics, context, or anything at all. From trading futures, predicting political outcomes, and parsing lyrics, the fundamental incomprehension of artificial intelligence is a key to understanding its limitations. Show Notes 02:30 | The AI Delusion by Oxford University Press 03:00 | The importance of knowing…

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elephant mask beautiful young hipster woman in the city

AI Is No Match for Ambiguity

Many simple sentences confuse AI but not humans

Because computers lack common sense, they cannot interpret statements that assume a background of general knowledge, as the Winograd Schema challenges show.

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