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TagGary Smith

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crypto currency concept

Is Crypto Just a Flash in the Pan?

Or, to put it more bluntly, will blockchain ever grow up to be a real financial system? Forbes says yes, cautiously
Will blockchain and other non-government currencies ever grow up to be a real financial system? What about the weird Canadian crypto uproar in which the only a dead man knows the code to release the missing millions? Read More ›
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Close-up view of the Difference Engine

Lovelace: The Programmer Who Spooked Alan Turing

Ada Lovelace understood her mentor Charles Babbage’s plans for his new Analytical Engine and was better than he at explaining what it could do

Turing thought that computers could be got to think. Thus he had to address Lovelace’s objection from a century earlier, that they could not be creative.

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Is Moore’s Law Over?

Rapid increase in computing power may become a thing of the past

If Moore’s Law fails, AI may settle in as a part of our lives like the automobile but it will not really be the Ruler of All except for those who choose that lifestyle. Even so, a belief that we will, for example, merge with computers by 2045 (the Singularity) is perhaps immune to the march of mere events. Entire arts and entertainment industries depend on the expression of such beliefs.

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Which Career-Limiting Data Mistake Are YOU Most at Risk For?

Award-winning data science author Gary Smith says the odds depend on your relationship to the data

Dr. Smith thinks that the most dangerous error is putting data before theory. Many data-mining algorithms that are now being used to screen job applicants, price car insurance, approve loan applications, and determine prison sentences have significant errors and biases that are not due to programmer mistakes and biases, but to a misplaced belief in data-mining.

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Group Of Businesspeople Identified By AI System

How To Fool Facial Recognition

Changing a couple of pixels here and there can stump a computer

Both computers and humans can be fooled by patterns that appear significant but really aren’t. But the bigger the computer, the more random patterns it can find in the vast swathes of data processed.

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The coins are stacked on the ground and the seedlings are growing on top, the concept of saving money and financial growth.

2019 AI Hype Countdown #4 Investment: AI Beats the Hot Stock Tip… Barely

At the end of the day, AI-based investing actually performed like a bad index fund

Artificial intelligence may do well summarizing data, but the new insights that will lead the economy forward cannot be gleaned that way. What we need is not old data but new truths.

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Bingecast: Is Cheese Consumption Causing Deaths from Tangled Sheets?

Those dealing with data must always remember “If you torture data long enough, it will confess to anything.” The answers that computers give must themselves be questioned. Robert J. Marks and Gary Smith address artificial intelligence, spurious correlations, and data research on Mind Matters. Show Notes 01:34 | Introduction to Gary Smith, the Fletcher Jones Professor of Economics at Pomona Read More ›

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The Unexpected and the Myth of Creative Computers – Part II

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the misattribution of creativity and understanding to computers. This is Part 2 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast on Mind Matters. Show Read More ›

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Can a Big Data Program Be Society’s Crystal Ball?

Can a program with enough data on all of us predict our future?

Even fans admit that, if the program works, bad actors can use it just as easily as New Scientist’s virtuecrats.

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The Surprising Importance of a Stock’s Name

Business media have picked up on Gary Smith’s research on the importance of stock ticker names, like WOOF or BABY

The fabled Economist also chimed in, sniffing that Smith’s team’s result was “too farfetched for a sitcom”… but didn’t dispute it.

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Group of kids walk over high log in the forest finding balance with hands one after another view from bellow

If Computers Are Intelligent, Climbing a Tree Is Flying

That, says Edward Feser, is the take-home message from Gary Smith’s book, The AI Delusion

The book’s message is that “the real danger of artificial intelligence is that it will remain dumber than we are,” but we will think it is smarter.

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The Top Ten AI Hype Stories of 2018, Updated

You can segue to each in the podcast and read the accompanying Mind Matters News story, as well as key updates
2019 has seen some remarkable revelations about Google, DeepMind, Watson, Sophia, and other AI faves. Check them out here! Read More ›
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Why Was IBM Watson a Flop in Medicine?

Robert J. Marks and Gary S. Smith discuss how the AI couldn’t identify which information in the tsunami of medical literature actually MATTERED

Last year, the IBM Health Initiative laid off a number of people, seemingly due to market disillusionment with the product.

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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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Can AI Combat Misleading Medical Research?

No, because AI doesn’t address the “Texas Sharpshooter Fallacies” that produce the bad data

In this week’s podcast, Pomona College’s Gary Smith, author of The AI Delusion, talks with Walter Bradley Center director Robert J. Marks about why so many bad research papers are accepted in the science establishment and in media.

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The Texas Sharpshooter Fallacies

Gary Smith discusses his book, the AI Delusion, and how the pressure to publish or perish corrupts research

Bob Marks and Gary Smith offer a range of startling examples of how the pressure to publish drives a lack of rigor — and sometimes honesty — in analyzing and presenting experimental data. The result is a never ending parade of headlines in health and medicine that are unwarranted and often reversed or impossible to replicate. Shownotes 01:00 | Data Read More ›

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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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The US 2016 Election: Why Big Data Failed

Economics professor Gary Smith sheds light on the surprise result

Some of the stuff that made a difference, they couldn’t put in a computer. Some people say, if you can’t measure it, it doesn’t count but sometimes the things that count can’t be measured.

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camera record on crane in production on studio and light to stage for entertainment industry

1: IBM’s Watson Is NOT Our New Computer Overlord

AI help, not hype: It won at Jeopardy (with specially chosen “softball” questions) but is not the hoped-for aid to cancer specialists
One problem that has dogged Watson has nothing to do with AI or medicine. The journalism around the introduction of projects like Watson is long on the Gee Whiz! An Electronic Brain! It Won at Jeopardy! And it is short on systematic inquiry as to outcomes versus goals. Read More ›