Mind Matters Natural and Artificial Intelligence News and Analysis

TagArtificial Intelligence

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person in black long sleeve shirt

Danaylov: Right on Technology, Wrong on AI

Danaylov's confidence in the future of AI super-intelligence is exaggerated

Our future is determined by the stories we tell ourselves. So says futurist Nikola Danaylov in his online series exploring the years and decades to come for humanity. In our previous posts, we introduced you to Danaylov and examined his perspective on science. Now we will turn to his treatment of technology and artificial intelligence. The Technology Story Like his perspective on science, Danaylov brings a balanced understanding to technology. Technology “is not an end-in-itself,” he says. “Instead, technology is merely a means-to-an-end, a tool.”  Jonathan Bartlett has also written about technology as a tool. In 2019, Elon Musk and Jack Ma shared a stage to debate the future of technology and artificial intelligence. Here’s what Bartlett had to say about it: For Ma,…

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Mature businessman or a scientist with robot.

Artificial Intelligence and the Golden Rule

The application of the Golden Rule to AI development is complex and multifaceted, but it is still the right rule to live by

How does the Golden Rule apply to developers of artificial intelligence (AI)? To simplify the application let’s assume there are only two people involved. One runs a small trucking company but also knows how to develop sophisticated AI. This business owner develops an AI enabled system capable of driving his truck. The other person is the truck driver, whom the owner no longer needs. If the owner believed in following the Golden Rule, how should he treat his driver?  Let’s assume the driver has worked for the company for forty years but is not yet financially ready to retire. A number of answers are possible. Some companies have bridged long-time employees to retirement. The owner might do that for his…

Kai-Fu Lee

Kai-Fu Lee, Inventor of Speech Recognition, to Speak at COSM 2021

Lee is one of many technological geniuses appearing in Seattle this November

This November in Seattle, some of the most brilliant minds in technology will gather for COSM, an exclusive national summit on how technology is remaking the world as we know it. Among its many speakers will be Kai-Fu Lee, a computer scientist, businessman, and the inventor of speech recognition. Lee’s credentials are many and impressive. After his Ph.D. work at Carnegie Mellon (which produced continuous speech recognition), he has journeyed through the offices of Apple, SGI, Microsoft, and Google. In 2009, he launched Sinovation Ventures in an effort to financially support up-and-coming Chinese high-tech companies. In 2018, Lee gave a TED talk on how human beings can thrive in an era of AI. The video (posted below) is worth the…

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Robotic handyman pliers handwrench. Fixing maintenance concept. Creative design toy with metal funnel hopper, cogs wheels gears silver metallic body. Green wall, blue floor background. Copy space

Nobody is Taking Tesla AI Seriously Anymore

Tesla's "AI Day" presented reasonable discussion until the "robot" showed up

Recently, Tesla held its “AI Day.” Tesla often creates an event which highlights some aspect of their business that they want to promote to investors, customers, or to potential employees. Tesla has had “battery day” and “autonomy day” to promote Tesla efforts on those fronts. It is an attempt to keep excitement and exposure to a maximum during seasons when there are no big product reveals. While Elon Musk is typically guilty of leading people on with extravagant (and unwarranted) claims about Tesla technology, these events have recently shown a more reserved side to Tesla’s front man. In “battery day,” he was expected to launch a million-mile battery, but instead talked mostly about getting access to the minerals needed for…

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Cold fresh lemonade with slices of ripe lemons.

Insurance Company Gives Sour AI Promises

Data collection and discriminatory algorithms are turning Lemonade sour

An insurance company with the quirky name Lemonade was founded in 2015 and went public in 2020. In addition to raising hundreds of millions of dollars from eager investors, Lemonade quickly attracted more than a million customers with the premise that artificial intelligence (AI) algorithms can estimate risks accurately and that buying insurance and filing claims can be fun: Lemonade is built on a digital substrata — we use bots and machine learning to make insurance instant, seamless, and delightful. Adding to the delight are the friendly names of their bots, like AI Maya, AI Jim, and AI Cooper. The company doesn’t explain how its AI works, but there is this head-scratching boast: A typical homeowners policy form has 20-40…

Stethoscope on computer with test results in Doctor consulting room background and report chart for medical costs in modern hospital on Laptop desk. Healthcare costs business and fees concept.

An Epic Failure: Overstated AI Claims in Medicine

Independent investigations are finding that AI algorithms used in hospitals are not all they claim to be

Epic Systems, America’s largest electronic health records company, maintains medical information for 180 million U.S. patients (56% of the population). Using the slogan, “with the patient at the heart,” it has a portfolio of 20 proprietary artificial intelligence (AI) algorithms designed to identify different illnesses and predict the length of hospital stays. As with many proprietary algorithms in medicine and elsewhere, users have no way of knowing whether Epic’s programs are reliable or just another marketing ploy. The details inside the black boxes are secret and independent tests are scarce. One of the most important Epic algorithms is for predicting sepsis, the leading cause of death in hospitals. Sepsis occurs when the human body overreacts to an infection and sends chemicals into the…

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St. Basil's Cathedral. This was taken during my first night in Moscow. Decided to take a stroll down the Red Square to see all the sights.

Samuel Bendett on AI Development in Russia

What is happening in Russia right now with regards to development of artificial intelligence? In today’s bingecast, Samuel Bendett and Robert J. Marks discuss Russian military and non-military development of AI including autonomous weapons, entrepreneurship, and free enterprise. Show Notes 00:46 | Introducing Samuel Bendett, advisor with the CNA Adversary Analysis Group 01:37 | Samuel Bendett’s background 02:14 | Russian non-military development of AI…

Panoramic image, Man hand holding piggy bank on wood table. Save money and financial investment

The Word “AI” Has Become a Marketing Ploy

Think twice before investing in a business that uses the word "AI" without further explanation

Justin Wang received a bachelor’s degree from Murdoch University in 2012 with a grade of 83.7% and a master’s degree in Information Technology Management from the University of Sydney in 2016 with a grade of 82.5%. In January 2017, he founded a Singapore-based company with the mysteriously cool name Scry in order to “manage information technology to achieve business goals, as well as – and perhaps more importantly – how it can be wielded to disrupt existing value networks.” What’s behind the mystery and jargon? It turns out that Scry is a “social forecasting platform.” Users join for free and can enter their personal estimates of the probabilities that certain events will happen, with Scry calculating the average probability. For example, one question is,…

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Human intelligence vs artificial intelligence. Face to face. Duel of views. Animated illustration on a school blackboard.

Robert J. Marks: There’s One Thing Only Humans Can Do

This week, we listen to Robert J. Marks speaking at the launch of the Walter Bradley Center for Natural and Artificial Intelligence in Dallas, Texas. Robert J. Marks is the Director of the Bradley Center and Distinguished Professor of Electrical and Computer Engineering at Baylor University. In a panel discussion at the 2019 launch of the Bradley Center, Dr. Marks…

Robot Examining Financial Report With Calculator

Should Robots Pay Taxes?

Taxing artificial intelligence is the latest proposal to expand centralized control of human life

In June 2021, we started considering the provocatively titled podcast transcript, “Can a Robot Be Arrested? Hold a Patent? Pay Income Taxes?”, posted on the IEEE Spectrum site. Steven Cherry interviewed Ryan Abbott, physician, lawyer, and professor, about these topics and referencing his 2019 book, The Reasonable Robot: Artificial Intelligence and the Law. We’ve discussed whether artificial intelligence (AI) systems could be charged with crimes or can hold a patent. Whether “robots should pay taxes” turns out to be the scariest question yet. Touching upon the subject only lightly in the podcast, Abbott details the problem of taxing AI in Reasonable Robot, following this thought process: Automation using AI threatens to increase human unemployment. Current U.S. tax law encourages automation through favorable treatment…

Bangkok. Thailand. June 9, 2017 : Man is typing on Google search engine from a laptop. Google is the biggest Internet search engine in the world.

George Gilder: Google Does Not Believe in Life After Google

Will technology permanently solve the problem of human productivity? Does the future look like a life of leisure while robots do all the work we currently do? In a panel discussion at the 2019 Dallas launch of the Walter Bradley Center for Natural and Artificial Intelligence, George Gilder offered some thoughts on the evening’s topic, “Will ‘Smart’ Machines Take Over…

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Cute little happy child girl playing piano in a light room. Selective focus, noise effect

Jay Richards: Creative Freedom, Not Robots, Is The Future Of Work

In an information economy with the rise of artificial intelligence and robots, are humans being pushed to the margins of the workforce? Are we to look forward to a hopeful future, or a dark one? Listen in to hear Jay Richards provide his own insight on the development of technology and its role in the workplace, and how he envisions…

Robotic Hand Assisting Person For Signing Document

Can a Robot Hold a Patent?

The boring answer is no, but the question raises intriguing thoughts about AI and intellectual property law

Since the late 1800s, people have been intrigued by robots. There’s something strange, wonderful, but sometimes scary about walking, talking, thinking machines, especially when in human form. Talking about “whether a robot can hold a patent” is bound to intrigue humanoids.  Mute the Robot Sound Bite In June 2021, we started considering the provocatively titled podcast transcript, “Can a Robot Be Arrested? Hold a Patent? Pay Income Taxes?”, posted on the IEEE Spectrum site. Steven Cherry interviewed Ryan Abbott, physician, lawyer, and professor, about these topics and referencing his 2019 book, The Reasonable Robot: Artificial Intelligence and the Law. Our previous discussion, “Can a Robot be Arrested and Prosecuted?”, addressed criminal liability for crimes committed by artificial intelligence (AI) systems. Now we consider: “Can a…

Robot prints on a typewriter

The Great American Novel Will Not be Written by a Computer

It takes more than statistical genius to understand words and create works of art

I’ve written before about how computer algorithms are like Nigel Richards, the New Zealander who has won multiple French-language Scrabble tournaments even though he does not understand the words he is spelling. Computers can similarly manipulate words in many useful ways — e.g., spellchecking, searching, alphabetizing — without any understanding of the words they are manipulating. To know what words mean, they would have to understand the world we live in. They don’t. One example is their struggles with the Winograd schema challenge — recognizing what it refers to in a sentence. Another example is the inability to answer simple questions like, “Is it safe to walk downstairs backwards if I close my eyes?” A third type of example is the brittleness of language translation programs. Yet another…

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Robot looking on the planet Earth from space. Technology concept, artificial intelligence

Geoffrey Simmons: Human Design and Robots (Bingecast)

“Machines will never fall in love with each other, they will never say a prayer in earnest and they will never comprehend their own death,” writes Dr. Geoffrey Simmons. In today’s bingecast, Dr. Robert J. Marks talks with author and retired physician Simmons about his book, Are We Here to Re-Create Ourselves?: The Convergence of Designs. The two spin off…

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Female Artist Works on Abstract Oil Painting, Moving Paint Brush Energetically She Creates Modern Masterpiece. Dark Creative Studio where Large Canvas Stands on Easel Illuminated. Low Angle Close-up

Intelligent Design Is Not What Most People Think It Is

Widespread confusion about Intelligent Design leads us to address the question: What exactly is it?

When I tell people that I do work in Intelligent Design (ID) research, either the person I’m talking to has no idea what Intelligent Design is, or they have quite a faulty idea of what Intelligent Design is. This isn’t their fault — media reports don’t seem to be able to make sense of what we are doing either. Some people have attributed this to malice, and, while I’m sure there’s plenty of that to go around, I think that it is in large part actually the result of Intelligent Design doing something genuinely new, making it difficult for people to shove us into existing boxes. Intelligent Design, at its core, says that agency is a distinct causal category in the world. That…

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3d rendering  of futuristic blue circuit board

Can AI Design AI?: Responding to Google’s Latest Tech

Anything can be intelligence if we set the bar low enough

Could a computer design itself? Could it design a bigger and better computer? A team at Google says yes. According to a recent article at NewScientist, Google has begun using AI to design AI. “Engineers at Google have tasked an artificial intelligence with designing faster and more efficient processors – and then used its chip designs to develop the next generation of specialised computers that run the very same type of AI algorithms,” writes Matthew Sparkes. Sparkes continues by explaining Google’s chip design, and introducing the reader to Google’s Anna Goldie, a member of the team at the front of this effort that tasks computers with making better computers. “It is conceivable,” says Sparkes, “that this new AI-designed chip will be used…

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Professional woman who studies the computer

Paul Werbos: The National Science Foundation and AI

In today’s episode, Dr. Robert J. Marks continues his conversation with Dr. Paul Werbos, the inventor of the most commonly used technique to train artificial neural networks. Listen in as they turn to the National Science Foundation, its role in steering research in artificial intelligence, and the major turning points in machine intelligence that Dr. Werbos witnessed as a program…

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technology and socialism

“AI is fastest path to Communism,” says Elon Musk’s partner

In a viral TikTok video, the singer/songwriter said AI will lead us to a world of leisure and no work

Social media was aflood yesterday with confusion and intrigue when Grimes – a Canadian singer/songwriter and 3-year partner to technological entrepreneur Elon Musk – said that “AI is actually the fastest path to communism” and encouraged communists to embrace the technology if they want to see their political dreams come true. Grimes (born Claire Elise Boucher) posted a short video to TikTok on Thursday, proposing that artificial intelligence could lead us to a utopia in which no one has to work and everyone lives in leisure: “I have a proposition for the communists. So, typically most of the communists I know are not big fans of AI. But if you think about it, AI is actually the fastest path to…

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Artificial intelligence, connections and nucleus in concept of interconnected neurons. Abstract background with binary numbers, neural network and cloud computing.

How Marvin Minsky Inspired Artificial Neural Networks

And what Minsky said when a scientist seeking to further develop the field finally met him

Dr. Paul Werbos calls it “a soap opera you wouldn’t believe”: the story of how a young Werbos was inspired by the pioneering computer scientist to pursue the development of artificial neural networks, and how Minsky later could not support the effort for disbelief that there was a solution to its many problems. In this week’s podcast, Dr. Robert J. Marks interviewed Dr. Paul Werbos, famous for his 1974 dissertation which proposed training artificial neural networks through the use of a backpropagation of errors. The two discuss Werbos’s journey in the development of artificial neural networks and the role Marvin Minsky played throughout. This portion begins at 04:25. A partial transcript, Show Notes, and Additional Resources follow. Robert J. Marks:…