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Researchers: Deep Learning Vision Is Very Different from Human Vision

Mistaking a teapot shape for a golf ball, due to surface features, is one striking example from a recent open-access paper
The networks did “a poor job of identifying such items as a butterfly, an airplane and a banana,” according to the researchers. The explanation they propose is that “Humans see the entire object, while the artificial intelligence networks identify fragments of the object.” Read More ›
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AI: Think About Ethics Before Trouble Arises

A machine learning specialist reflects on Micah 6:8 as a guide to developing ethics for the rapidly growing profession
To love mercy sometimes means to give up efficiency. It could mean losing a few points of model accuracy by refusing to take into account features that invade privacy or are proxies for race, leading to discriminatory model behavior. But that’s OK. The merciful are willing to give up some of their rights and advantages so they can help others.   Read More ›
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Will artificial intelligence design artificial super-intelligence?

And then turn us all into super-geniuses, as some AI researchers hope? No, and here's why not
Because Moore's law is an exponential law, the numbers multiply rapidly and we could hit the physical limit rather suddenly. Current indications are that Moore’s law’s speed has already slowed or even ceased to be a true description of the IT industry today. Read More ›
Children using computer in school
Children using computer in school

Can an Algorithm Be Racist?

No, the machine has no opinion. It processes vast tracts of data. And, as a result, the troubling hidden roots of some data are exposed
It’s tempting to assume that a villain lurks behind such a scene when the exact opposite is the problem: A system dominated by machines is all calculations, not thoughts, intentions, or choices. If the input is wrong, so is the output. Read More ›
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How Can Information Theory Help the Economy Grow?

New information is the true source of new wealth; everyone wins when we learn how to produce it more efficiently
What gives humans the ability to increase in prosperity, according to Eric Holloway, is our ability to “read” from Plato’s Library of new ideas, thus providing an ever-growing supply of side information that powers the economy. Read More ›
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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 ›
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2: AI Can Write Novels and Screenplays Better than the Pros!

AI help, not hype: Software can automatically generate word sequences based on material fed in from existing scripts. But with what result?

“AI rites reel gud!” Seriously, the idea is not new. Back in the 1940s, George Orwell (1903–1950) thought that a machine could write popular novels so long as no creative thinking was involved. Thus, in his 1984 police state world, one of the central characters has a job minding a machine that mass produces them. In the 1960s, some film experiments were done along these lines, using Westerns (cowboy stories). At the time, there were masses of formula-based film material to work with in this popular genre. But what does the product look and sound like? In 2016, Ars Technica was proud to sponsor “the first AI-written sci-fi script:” As explained in The Guardian, a recurrent neural network “was fed the Read More ›

Abstract Looking Into a Kaleidoscope Background Geometric Shapes
Abstract Looking Into a Kaleidoscope Background Geometric Shapes

In One Sense, Consciousness IS an Illusion…

We have no knowledge of the processes of our consciousness, only of the objects of its attention, whether they are physical, emotional, or abstract
When we think, we think about reality, not about the neurological processes by which we connect to reality. It is by keeping this understanding clearly in mind that we escape the solipsism that bedevils modern neuroscience. Read More ›
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Afraid man in tinfoil helmet watches TV, paranoia concept. UFO, conspiracy theory, brain theft protection, phobia

3: With Mind-Reading AI, You Will Never Have Secrets Again!

AI help, not hype, with Robert J. Marks: Did you read about the flap they had to cut out of a volunteer’s skull?

The Daily Mail is the United Kingdom’s second largest circulation daily. A headline from the webpage screams: No more secrets! New mind-reading machine can translate your thoughts and display them as text INSTANTLY! Not a lot of nuance there. The story continues on a tidal wave of hyperbole, • Researchers say they have developed a machine that can translate our thoughts •  The astonishing machine will analyse what you are thinking and display it as text ending with a charitable hope: •  Scientists hope that the machine can be used by people who are unable to speak The reality is that AI can read your mind for a few words repeated often if you have a flap cut out of your skull and Read More ›

Chess game business strategy concept
Chess game business strategy concept

Can Big Data Beat the Humans Who Compile It?

A computer pioneer bets no: Human intelligence augmented by artificial intelligence will always beat artificial intelligence alone. Is he right?
The bottom line is that Brooks’ Bet and his IA>AI inequality principle is a good reality check in the face of fears and hype about what AI will do in the future. Read More ›
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4: Making AI Look More Human Makes It More Human-like!

AI help, not hype, with Robert J. Marks: Technicians can do a lot these days with automated lip-syncs and smiles but what’s behind them?
This summer, some were simply agog over “Sophia, the First Robot Citizen” (“unsettling as it is awe-inspiring”) Read More ›
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Colorful toothpicks or pick-up sticks

How Can We Measure Meaningful Information?

Neither randomness nor order alone creates meaning. So how can we identify communications?
Dropping a handful of toothpicks on the table seems to produce a different sort of pattern than spelling out a word with toothpicks. Surprisingly, this intuitive distinction is harder to make in math and the sciences. Algorithmic specified complexity (ASC) enables us to distinguish them. Read More ›
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5: AI Can Fight Hate Speech!

AI can carry out its programmers’ biases and that’s all
Putting these kinds of decisions in the hands of software programs is not likely to promote vigorous and healthy debate. Read More ›
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6: AI Can Even Exploit Loopholes in the Code!

AI adopts a solution in an allowed set, maybe not the one you expected
One example the programmers offered of this type of gaming the system was a walking digital robot that moved more quickly by somersaulting than by using a normal walking gait. Read More ›
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7: Computers can develop creative solutions on their own!

AI help, not hype, with Robert J. Marks: Programmers may be surprised by which solution, from a range they built in, comes out on top
Sometimes the results are unexpected and even surprising. But they follow directly from the program doing exactly what the programmer programmed it to do. It’s all program, no creativity. Read More ›
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The truck runs on the highway with speed. 3d render and illustration.

8: AI Just Needs a Bigger Truck!

AI help, not hype, with Robert J. Marks: Can we create superintelligent computers just by adding more computing power?
Some think computers could greatly exceed human intelligence if only we added more computing power. That reminds me of an old story… Read More ›
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Ground meat being weighed

What Do Thoughts Weigh?

Robert Marks thrashes out with Michael Medved why our minds are neither meat nor software

In a wide-ranging conversation, Robert Marks and Michael Medved tackle questions like what it means for something to be not just unknown but “unknowable.”

Read More ›
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9: Will That Army Robot Squid Ever Be “Self-Aware”?

AI help, not hype: What would it take for a robot to be self-aware?
The thrill of fear invites the reader to accept a metaphorical claim as a literal fact. Read More ›
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Is Salad Murder?

A Darwinian biologist wrestles with the significance of plant intelligence

If plants can sense things and communicate with each other, even though they lack a mind or brain, should they have rights? In an age of sometimes violent animal rights activism, that’s not an idle question. Plant physiologist Ulrich Kutschera, author of Physiology of Plants. Sensible Vegetation in Action (January 2019, German), talked about it in a recent interview: This is a serious issue which is related to plant intelligence. In April 2009, the Swiss Parliament discussed the topic of “plant ethics” and proposed to attribute to plants a kind of “Würde”, which can be translated as “dignity” (3). As a consequence, some radical plant ethics-activists have distributed T-shirts and other propaganda material with the slogan “Salad is murder”. Despite Read More ›

Artificial Intelligence Playing Go

10. Is AI Really Becoming “Human-like”?

AI help, not hype: Here’s #10 of our Top Ten AI hypes, flops, and spins of 2018

A headline from the UK Telegraph reads “DeepMind's AlphaZero now showing human-like intuition in historical 'turning point' for AI” Don't worry if you missed it.

Read More ›