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Mind Matters Reporting on Natural and Artificial Intelligence

CategoryArtificial Intelligence

Artificial intelligence and data concept

A Scientific Test for True Intelligence

A scientific test should identify precisely what humans can do that computers cannot, avoiding subjective opinion

The “broken checkerboard” is not the ultimate scientific test for intelligence that we need. But it is a truly scientific test in the sense that it is capable of falsifying the theory that the mind is reducible to computation.

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robots in a car plant

Will the COVID-19 Pandemic Promote Mass Automation?

Caution! Robots don’t file for benefits but that’s not all we need to know about them

I understand the panic many business leaders experience as they try to stay solvent while customers evaporate. Panic, however, is a poor teacher: AI-based automation will not only not solve all their problems, it may very well add to them. AI is not a magic box into which we can stuff them and make them disappear.

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Shot of Corridor in Working Data Center Full of Rack Servers and Supercomputers with Internet connection Visualisation Projection.
Shot of Corridor in Working Data Center Full of Rack Servers and Supercomputers with Internet connection Visualization Projection.

What’s Hard for Computers Is Easy for Humans

Some of the surprising things computers have a hard time doing and why

We often hear that what’s hard for humans is easy for computers. But it turns out that many kinds of problems are exceedingly hard for computers to solve. This class of problems, known as NP-Complete (NPC), was independently discovered by Stephen Cook and Leonid Levin.

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Businessman holding Chatbot with binary code, message and data 3d rendering

Current Artificial Intelligence Research Is Unscientific

The assumption that the human mind can be reduced to a computer program has never really been tested

Because AI research is based on a fundamental assumption that has not been scientifically tested—that the human mind can be reduced to a computer—then the research itself cannot be said to be scientific.

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Young businesswoman thinking while using a laptop at work

Jeffrey Shallit, a computer scientist, doesn’t know how computers work

Patterns in computers only have meaning when they are caused by humans programming and using them.

Materialism is a kind of intellectual disability that afflicts even the well-educated. To put it simply, machines don’t and can’t think. Dr. Shallit’s wristwatch doesn’t know what time it is. Dr. Shallit’s iPod doesn’t enjoy the music it plays or listen to his phone calls. His television doesn’t like or dislike movies. And his computer doesn’t, and can’t, think.

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Photo by Fusion Medical Animation

Was the COVID-19 Virus Designed? The Computer Doesn’t Know

Some researchers confuse not finding a particular type of design with ruling out design

The authors of the paper saying that the virus could not have been designed base their findings on the fact that current software would not have predicted this result. I am not claiming that the virus was designed, only that a researcher need not have relied on this software to design a virus. The paper makes a faulty assumption.

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Self-driving electric semi truck driving on highway. 3D rendering image.

Star self-driving truck firm shuts; AI not safe enough soon enough

CEO Stefan Seltz-Axmacher is blunt about the cause: Machine learning “doesn’t live up to the hype”

Starsky Robotics was not just another startup overwhelmed by business realities. In 2019, it was named one of the world’s 100 most promising start-ups (CNBC) and one to watch by FreightWaves, a key trucking industry publication. But the AI breakthroughs did not appear.

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Woman in medical protective mask applying an antibacterial antiseptic gel for hands disinfection and health protection during during flu virus outbreak. Coronavirus quarantine and novel covid ncov

AI Is Not Ready to Moderate Content!

In the face of COVID-19 quarantines for human moderators, some look to AI to keep the bad stuff off social media

Big social media companies have long wanted to replace human content moderators with AI. COVID-19 quarantines have only intensified that discussion. But AI is far, far from ready to successfully moderate content in an age of where virtual monopolies make single point failure a frequent risk.

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Young little Asian boy wearing shoes on stair with wear medical face mask to protect from infection of viruses, pandemic, outbreak and epidemic of disease in empty shopping mall during quarantine.

DingTalk: Where the “Teacher” Really Is Always Watching You

The COVID-19 quarantine has spiked both virtual workplaces and classrooms in China, highlighting anger at the surveillance

Every human being, whether office worker or high school student, bucks against digital harnesses.

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Businessman with psychopathic behaviors

All AI’s Are Psychopaths

We can use them but we can’t trust them with moral decisions. They don’t care why

Building an AI entails moving parts of our intelligence into a machine. We can do that with rules, (simplified) virtual worlds, statistical learning… We’ll likely create other means as well. But, as long as “no one is home”—that is, the machines lack minds—gaps will remain and those gaps, without human oversight, can put us at risk.

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Aerial view of city intersection with many cars and GPS navigation system symbols. Autonomous driverless vehicles in city traffic. Future transportation concept

The Real Threat AI Poses Is the “I” That Controls It

As AI becomes a part of everyday life, the science fiction glow fades; the constant high-tech surveillance intensifies

Pundits like Nick Bostrom and Ray Kurzweil worry that smart AI will rule us. But, as the Carnegie Index shows, conventional dictators using conventional AI for mass surveillance are a growing real-world problem while smart AI remains science fiction.

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Streetcar in Toronto, Ontario, Canada

The “Moral Machine” Is Bad News for AI Ethics

Despite the recent claims of its defenders, there is no way we can outsource moral decision-making to an automated intelligence

Here’s the dilemma: The Moral Machine (the Trolley Problem, updated) feels necessary because the rules by which we order our lives are useless with automated vehicles. Laws embody principles that we apply. Machines have no mind by which to apply the rules. Instead researchers must train them with millions of examples and hope the machine extracts the correct message… 

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Digital Brain

Are We Doomed Unless We Get Ourselves Digitized?

A tech writer suggests humans can escape Earth’s end by digitizing ourselves elsewhere in the galaxy

Today’s apocalyptic vision seems now to have moved on from the arrival of the extraterrestrials to uploading ourselves to a supercomputer. Whether it’s possible is really secondary. The main question is whether it answers a cultural need for a vision that mirrors the inner turmoil of the day.

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technical financial graph on technology abstract background

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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Joyful happy boy hugging a robot

Can Robots Be Programmed To Care About Us?

Some researchers think it is only a matter of the right tweaks

The quest is a curious blend of forlorn hope fueled by half-acknowledged hype and resolute denial of the most serious problems. Also by sometimes systematic confusion as to what, precisely, we are talking about.

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The Dreamy Abstract background from soap bubble in the air with nature defocused

Stanford’s AI Index Report: How Much Is BS?

Some measurements of AI’s economic impact sound like the metrics that fueled the dot-com bubble

Stanford University’s AI index offers us fanciful measures of the triumph of AI, rivaling the far-fetched metrics of dot-com commerce. The reality has been the opposite. For decades, U.S. productivity grew by about 3% a year. Then, after 1970, it slowed to 1.5% a year, then 1%, now about 0.5%. Perhaps we are spending too much time on our smartphones.

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issue-type-bug-blame

Machines Never Lie but Programmers… Sometimes

A creative claim is floating around out there that bad AI results can arise from machine “deception”

We might avoid worrying that our artificial intelligence machines are trying to deceive us if we called it “Automated Intelligence rather than “Artificial Intelligence.”

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Beautiful bored people bored isolated on pink background

Are Facial Expressions a Clear, Simple Basis for Hiring Decisions?

Marketing AI to employers to analyze facial expressions ignores the fact that correlation is NOT causation

Have you heard of the Law of the Instrument? It just means, to quote one formulation, “He that is good with a hammer tends to think everything is a nail.” All any given problem needs is a good pounding. This is a risk with AI, as with amateur carpentry. But with AI, it can get you into more serious trouble. Take hiring, for instance.

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Asian Doctor with the stethoscope equipment hand holding the Artificial intelligence of brain technology over Abstract photo blurred of hospital background, AI and physician concept

How AI Can Make Medicine Better—or Not

Experts offer some real-world cautions about powerful new AI tools

Medicine involves many risks, benefits, and tradeoffs. Early diagnosis, for example, can certainly be defended and promoted on a right-to-know basis. But that is not the same thing as saying that it reliably improves outcomes or even enjoyment of life. If a powerful AI method reliably detected the very early onset of Alzheimer, it might ruin a senior's early retirement years without changing the outcome much. Getting the most from AI will include determining the relationship between what it can potentially do and what will provide a medical benefit.

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Man in black hat in the rain at dark overcast street

How Can AI Help with Real-Life Cold Case Files?

AI doesn’t create new ideas in police work; rather, it does the work that police, who must move on to urgent, fresh cases, don’t have time to do

When no new leads emerge in a murder or missing persons investigation, police must shift their resources to cases that offer new information. Currently, the FBI Uniform Crime Report keeps an estimated 250,000 cold cases on file. Recent developments in AI, however, have shed light on some of these old and cold cases.

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