Mind Matters Reporting on Natural and Artificial Intelligence

CategoryArtificial Intelligence

Photo by Michal Mrozek

So Is an AI Winter Really Coming This Time?

AI did surge past milestones during the 2010s but fell well short of the hype

Maybe both. AI will require more from us, not less, because how we choose to use these tools will make an increasingly stark difference between benefit and ruin.

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robot work on microscope

Will an AI Win a Nobel Prize for Science All by Itself One Day?

No, but Support Vector Machines (SVMs) can allow scientists to frame questions so that a comprehensible answer is more likely

AI can certainly help scientists. But to understand why AI can’t do science on its own, we should take a look at the NP-Hard Problem in computer science. The “Hard” is in the name of the problem for a reason… 

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Her (2013): If You Created Her, Is It Real Love?

In this retrospective Mind Matters movie review, Adam Nieri ponders the questions raised by a thoughtful AI film

Unlike Catherine, Samantha is exactly what Theodore was looking for. No surprise there; Samantha is, literally, adjusted and updated according to Theodore’s preferences from when he initially began speaking to her. She exists only to be Theodore’s soulmate. Is that enough?

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Photo by Clem Onojeghuo

Can We Outsource Hiring Decisions to AI and Go for Coffee Now?

I would have fired any of my hiring managers who demonstrated characteristic AI traits immediately. So why do we tolerate it coming from a machine?

With historically low unemployment, employers are tempted to reduce costs and speed up the process using artificial intelligence (AI) systems. These systems might help but, for best results, let’s have a look at the problems they can’t solve and some that they might create.

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Soldiers are Using Drone for Scouting During Military Operation in the Desert.

Book at a Glance: Robert J. Marks’s Killer Robots

What if ambitious nations such as China and Iran develop lethal AI military technology but the United States does not?

Artificial intelligence expert Robert J. Marks tackles the contentious subject of military drones in his just-published book, The Case for Killer Robots: Why America’s military needs to continue the development of lethal AI. Many sources (30 countries, 110+ NGOs, 4500 AI experts, the UN Secretary General, the EU, and 26 Nobel Laureates) have called for these lethal AI weapons to be banned. Dr. Marks, a Distinguished Professor of Electrical and Computer Engineering at Baylor University, disagrees. What if ambitious nations such as China and Iran develop lethal AI military technology but the United States does not? Nations that wish to maintain independence (sovereignty), he argues, must remain competitive in military AI. (“Advanced technology not only wins wars but gives pause Read More ›

Robotic filmmaking. Talented robots shoots television movie or motion picture. Creative filmmakers robotic crew director, assistant with spotlight and cameraman behind the scene. Automated process of creating video content. Red wall studio background.

Can AI Help Hollywood Predict the Next Big Hit?

AI analysis sifts the past finely. But how well does the past predict the future?

AI does pose at least one threat to filmmaking. It could intensify the very tone-deafness that studios hope it can fix: Too much reliance on ever more finely grained analysis of the patterns in past data could blind decision makers to the real risks, volatility, and opportunities in the future. That’s a recipe for losing money and inflicting “Oh, not that again!” on audiences.

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Futuristic Robot Arm Touches Human Hand in Humanity and Artificial Intelligence Unifying Gesture. Conscious Technology Meets Humanity. Concept Inspired by Michelangelo's Creation of Adam

Can Machines Be Given Consciousness?

A prominent researcher in consciousness studies offers reasons for doubt

Two theories of human consciousness are about to be tested in a historic contest. Integrated Information Theory (IIT) of consciousness and rival Global Workspace Theory (GWT) have sharply different implications for consciousness in machines.

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Big Data Technology for Business Finance Analytic Concept. Modern graphic interface shows massive information of business sale report, profit chart and stock market trends analysis on screen monitor.

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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Breast cancer histology: Lobular carcinoma in situ (LCIS) is seen in the lower left with invasive (infiltrating) lobular carcinoma in the upper right. Screening mammography can detect early tumors.

How AI Can Help Us Fight Cancer

Breast cancer is an excellent example of how AI can speed up early detection

AI catches things doctor miss, and doctors catch things AI misses. Using the AI to highlight what may be cancer tissue helps the radiologist focus on ambiguous situations, reducing the chance of missing early cancers.

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GPS navigator in desert

AI Should Mean Thinking Smarter, Not Less

We should be all the more engaged when we use technology

Tim Harford points to the Sanchez tragedy to raise an important question: How do we know when a given technology is really helping us? And when we are taking too great a risk or paying too high a price?

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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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3d rendered illustration of karate dojo background. Karate school is out of focus to be used as a photographic backdrop.

What Did the Computer Learn in the Chinese Room? Nothing.

Computers don’t “understand” things and they can’t handle ambiguity, says Robert J. Marks

Larry L. Linenschmidt interviews Robert J. Marks on the difference between performing a task and understanding the task, as explained in philosopher John Searle’s famous “Chinese Room” thought experiment.

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Tesla Motors logo sign

2019 AI Hype Countdown #1: Tesla’s Robotaxis—Tales of a Phantom Fleet

Musk put out a tweet on December 22, saying “Sorry, it's been a bit of a struggle.” At last, a claim we can unreservedly believe

Because Tesla has yet to make a yearly profit in any of its sixteen years of existence, it depends on capital raises of various forms (equity, debt, etc.) to stay in business. Capital raises require big promises and Tesla’s overstatements about its self-driving cars are always good for a few billion.

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Businessman forecasting a crystal ball

2019 AI Hype Countdown #2: Big Data Is Our Crystal Ball!

The biggest problem is that human behavior is not as predictable as the models imply

Many models are ridiculously simplistic, making the results worse than worthless. They become a way of solidifying biases.

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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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Face made of shiny metal cubes. Looking Down.3d render

2019 AI Hype Countdown #5: Transhumanism never grows old

The idea that we can upload our brains to computers to avoid death shows a fundamental misunderstanding of the differences between types of thinking

Computers are very effective but they operate with a very limited set of causal abilities. Humans work from an entirely different set of causal abilities. Uploading your brain to a computer is not a question of technology. It can’t work in principle.

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2019 AI Hype Countdown #6: AI Will Replace Scientists!

In May of this year, The Scientist ran a series of pieces suggesting that we could automate the process of acquiring scientific knowledge

In reality, without appropriate human supervision, AI is just as likely to find false or unimportant patterns as real ones. Additionally, the overuse of AI in science is actually leading to a reproducibility crisis.

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Businessman Robot Hands Law Connection HUD Network

2019 AI Hype Countdown #7: “Robot rights” grabs the mike

If we could make intelligent and sentient AIs, wouldn’t that mean we would have to stop programming them?

AI programs are just that—programs. Nothing in such a program could make it conscious. We may as well think that if we make sci-fi life-like enough, we should start worrying about Darth Vader really taking over the galaxy.

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2019 AI Hype Countdown #8: Media Started Doing Their Job!

Yes, this year, there has been a reassuring trend: Media are offering more critical assessment of off-the-wall AI hype

One factor in the growing sobriety may be that, as AI technology transitions from dreams to reality, the future belongs to leaders who are pragmatic about its abilities and limitations.

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Smart car, Autonomous self-driving mode vehicle on metro city road IoT concept.

Expert: We Won’t Have Self-Driving Cars For a Decade

Machine Learning rapidly moved self-driving cars from the lab to the roads but the underlying technology remains brittle

Myths are not inherently bad but the real world crushes them. One myth currently taking a beating is “self-driving cars are just around the corner.” Here’s why not. 

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