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Mind Matters Reporting on Natural and Artificial Intelligence

CategoryArtificial Intelligence

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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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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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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.

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The Human Mind from a Computer Science Perspective

The Blyth Institute’s new journal will offer a focus on artificial intelligence and philosophy as well as philosophical questions in mathematics and engineering
Communications is intended as a discussion forum for fresh ideas in a variety of areas, including philosophy of mind as seen from a computer science perspective. Read More ›
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Stephen Hawking and the AI Apocalypse

Can doomsday headlines, chasing fame, stand in for deep knowledge of a subject?
One thing a celebrity pundit can usually count on is an audience of media professionals who haven’t considered the problems carefully either and don’t want to. It is much easier and more profitable to market Doomsday than Levin’s Law. As always, the fact that laws governing the universe will eventually triumph is true but not news.   Read More ›
Robert J. Marks with Michael Medved
Robert J. Marks on Great Minds with Michael Medved

Robert J. Marks Talks Computers with Michael Medved

Computers can magnify what we do, he says, and that's the real threat
Recently, Robert J. Marks, director of the Walter Bradley Center for Natural and Artificial Intelligence, sat down with radio host and author Michael Medved to help sort through the confusion about what artificial intelligence can and can’t do, now and in the future. Read More ›
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View of Lake Michigan from the Memorial Museum in Milwaukee, Wi

AI Winter Is Coming

Roughly every decade since the late 1960s has experienced a promising wave of AI that later crashed on real-world problems, leading to collapses in research funding.
Nearly all of AI’s recent gains have been realized due to massive increases in data and computing power that enable old algorithms to suddenly become useful. For example, researchers first conceived neural networks—the core idea powering much machine learning and AI’s notable advances—in the late 1950s. The worries of an impending winter arise because we’re approaching the limits of what massive data combined with hordes of computers can do. Read More ›
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Aerial shot of artists and craters at work

Human Consciousness May Not Be Computable

One model of consciousness would mean that conscious computers are a physical impossibility
As long as computers simply get faster and use more memory, there is no reason to worry about a self-aware Skynet. Read More ›
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Can the Air Force Create Thinking Planes?

Smart drones? They are working on general artificial intelligence (GAI)
Eric Holloway: The likely way this will turn out is they'll realize human-in-the-loop is unavoidable for any useful system, so it'll spin off into something like the existing field of human computation. Read More ›
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Too Big to Fail Safe?

If artificial intelligence makes disastrous decisions from very complex calculations, will we still understand what went wrong?
A neuroscientist offers an example of the kind of thing that can go wrong, while the AI system is still small and focused enough to be easily understood: Read More ›
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AI Social Media Could Totally Manipulate You

Deep learning specialist: And the scary thing is, the AI needed is not especially advanced

Readers familiar with The Two Towers will recall that that’s precisely what Worm-Tongue did to Theoden King: The king heard nothing but what was conveyed to him from his would-be overlord by Worm-tongue, until someone separated him, rather forcibly, from his "social medium."

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If a Robot Read the News, Would You Notice a Difference?

The Chinese government thinks not. Is this the way of the future?
The robotic news readers of China serve a quite different purpose from the independent news outlets and commentators of the West; the robots help disseminate controlled information rather than finding and developing information. Read More ›
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The “superintelligent AI myth”

The problem that even the skeptical Deep Learning researcher left out
I largely agree with what François Chollet said last year as to why there will be no explosion of general artificial intelligence. But when he challenged the fear of an AI-driven “intelligence explosion,” he, perhaps unwittingly, said more than he meant. Read More ›
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Brains are not billions of little computers

Despite the hype. Also, life forms are not machines and neurons are not neural networks
Life forms exist in a dance with their environment (homeostasis) that requires constant adjustment, an adjustment generated by the inner drive to continue in existence. How does the drive come to be there? The analogy between life forms and machines like computers is not particularly convincing, on close examination. Read More ›
Female Cyborg Robot - 3D render of a futuristic robot conveying artificial intelligence, work and production automation in the digital age

Software pioneer says general superhuman artificial intelligence is very unlikely

The concept, he argues, shows a lack of understanding of the nature of intelligence
François Chollet, author of Keras, for the Python deep learning language, cites the No Free Lunch theorem as one of the reasons. Read More ›
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Machines just don’t do meaning

And that, says a computer science prof, is a key reason they won't compete with humans
Human understanding is grounded, as Prof. Mitchell says, in common-sense knowledge about how the world works and why things matter. Researchers have not been able to transfer this understanding to AI but she worries that many teams are moving ahead with projects that require such ability for safety. Read More ›
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Should robots run for office?

A tech analyst sees a threat to democracy if they don’t
In an adapted excerpt from Future Politics: Living Together in a World Transformed by Tech (2018), titled “Mr. Robot goes to Washington: How AI will change democracy,” lawyer and tech writer Jamie Susskind: envisions AI as not only fighting “fake news” but voting for us and helping to draft legislation. It’s a sobering thought, how far some tech analysts would be prepared to go in order to impose their own vision of order on an unruly but stable political system. Read More ›