Richard Stevens

Fellow, Walter Bradley Center on Natural and Artificial Intelligence

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US Federal court rules: Machines do not “invent” things

Evidently, Stephen Thaler’s aim was to get the patent office to recognize that an AI system can invent things all by itself
Check out this headline from lawandcrime.com: Federal Appellate Court Rules AI Systems Cannot Be “Inventors” Because They Are Not Human. Notice the angle: framing a battle between machines and homo sapiens, pitting human intelligence against artificial intelligence. The article’s first sentence spotlights the center attraction, stating: The U.S. Court of Appeals for the Federal Circuit ruled Friday that artificial intelligence or “AI” systems cannot patent their inventions because they are not “natural people.” Here the Law and Crime article subtly inserts two key beliefs: (1) that AI systems can in fact invent things all by themselves; and (2) that AI systems physically can “patent their inventions.” The sentence thus implies that the

“Do You Hear What I Hear?” Christmas Music is All in Your Mind

Is music a matter of matter and energy alone, or is there something more to the story?
What better time than the Christmas season to explore immaterial realities of the human mind? A perfect example to consider is Christmas music. It’s everywhere during the holiday season. But what exactly is music? Described in purely physical terms, music is what humans sometimes perceive from the vibrations of air. Individual pieces of music are described less in physical terms and more in subjective terms using words that reflect how humans experience music in their minds. Eight key elements of music fall mostly into the category of qualia, i.e., experiences that occur in the hearers’ minds only: Dynamics, Form, Harmony, Melody, Rhythm, Texture, Timbre and Tonality. Do you know the Christmas song “We Three Kings” when you hear

For Ants, Building a Bridge Is No “Simple” Task

There is nothing “simple” about designing neural systems and the computer systems to receive and interpret neural sensory inputs
Researching for my previous Mind Matters article about bird and bee biological software, I came across a short piece at Quanta Magazine entitled “The Simple Algorithm That Ants Use to Build Bridges.” Really, a “simple” insect algorithm? Intriguing. Eric Cassell’s book, Animal Algorithms (2021), reveals the complex and intricate hardware-software systems enabling bird and insect procedures for migration, building nests and structures, social cooperation, and navigation. Grounded in engineering training and experience, Cassell shows that animal algorithms must be designed top-down starting with a goal, fashioning the data input sensors, developing the necessary procedures, and implementing them in software to direct hardware. Yet

The Intelligence Birds and Bees Naturally Have — and We Don’t

An exploration of the stunning findings in Eric Cassell's new book, "Animal Algorithms"
You’re aiming to find your childhood friend’s home in a new city. A map helps; GPS is better. Accessing all that previously-acquired mapmakers’ knowledge, employing all of that satellite, radio and computing technology, you’ll probably (although not certainly) reach your goal. Could some “dumb bird” do any better?  Way better, actually.  Baked-in Brain Power A bird born near Wales (UK) knows how to fly over 6,200 miles (10,000 km) south in the winter, following the west coastlines of Europe and Africa, then crossing the Atlantic Ocean to land in Argentina. The same bird knows how to return to its original home a few months later. She flies north along the east coasts of South and North America, then crosses the Atlantic back to her birth location.

Asilomar AI Principles: Ethics to Guide a Top-Down Control Regime

Experts agree on a humanistic AI ethics program! Before we break out the champagne, let's ask some serious questions about their assumptions.
Get 1,200 artificial intelligence (AI) researchers and 2,500 other businesspeople and academics, such as Elon Musk, Stephen Hawking, Ray Kurzweil, and David Chalmers, to all endorse one document about AI ethics. Voila! You have the Asilomar AI Principles with serious sound bite power: Experts agree on a humanistic AI ethics program! Do the Principles advance a worthy cause? To a certain extent, perhaps, in theory. Reading the text of the Asilomar Principles, however, you get a few vague ethical aspirations offered to guide a top-down control regime. Surveying the Principles’ 23 points, a few stand out as smooth, velvet glove power-grabbers. The points do it subtly, so as the holographic Dr. Lanning advised in I, Robot (2004),

Why AI Cannot Successfully Run the Economy

Artificial intelligence is insufficient to predict and plan for the vast complexities of an individual human being, let alone an entire country
Optimists talk about artificial intelligence (AI) as magnificent tools and ultimately a source of world salvation. Pessimists warn that AI can produce the implements of tyranny and ultimately soulless world domination. Many people in both camps take these views without seriously questioning the limits of AI.  To challenge the optimists: Can AI run a human society’s economy better than humans? Governments are expanding and taking more power to run everything, and many people accept or even cheer them for doing so. To carry out that mission, such Leviathan governments invariably increase taxes and impose regulations upon economic activity: prices, wages, investments, interest rates, use of private property, transfers of ownership,

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

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

Can a Robot be Arrested and Prosecuted?

An Uber driver is held liable if he runs over someone. But what if a driverless taxi ran over someone?
The title, “Can a Robot Be Arrested? Hold a Patent? Pay Income Taxes?”, is bound to attract clicks and attention. Posted on the IEEE Spectrum site, a podcast transcript by that name reports Steven Cherry’s interview of Ryan Abbott about artificial intelligence and the law. Abbott, a physician, lawyer, and professor, wrote the aptly titled book, The Reasonable Robot: Artificial Intelligence and the Law, published by Cambridge University Press in 2019. To the point: Can a robot be arrested? Technically, an arrest occurs when a person is forcibly but lawfully detained. Of course, one can forcibly detain a robot – we’ve seen that done in many science fiction movies. Abbott was talking specifically about how criminal law should apply to actions taken

Artificial Intelligence Slams on the Brakes

The problem of autonomous cars suddenly slamming the brakes is becoming well known and it has no known fix
Having just donated your well-worn 1994 Toyota Camry to charity, you’re driving a brand new 2020 Honda sedan on a major street, enjoying air-conditioned comfort on a sunny day, with the satellite radio service narrowcasting tunes from the soundtrack of your life. Then, WHAM! In a half second, the car slows from 45 to 20 — and you never touched the brake pedal. You never saw it coming but your neck is still reminding you painfully of your whiplash injury. A close family member experienced this exact scenario just a month ago. She never touched the brake pedal. What happened? The dealership’s sales representative had not explained each and every feature of this postmodern car and certainly didn’t warn about the risks of its artificial intelligence (AI). It turned

Why Software Cannot Just Evolve — a Demonstration

The claims for Avida — a software program that is supposed to “evolve” solutions via neo-Darwinian evolution — fail the most basic test
A Michigan State University publication headlined a media release declaring: “Evolution of learning is key to better artificial intelligence” (September 19, 2019). Reportedly, researchers used the computer simulation software, Avida, to show the “evolution of learning.” On that view, artificial intelligence arises via neo-Darwinian evolution. Really? The “Sound Bites” Were Exciting… The university’s team “composed of biologists and computer scientists used a digital evolution program that allowed them to observe tens of thousands of generations of evolution in just a few hours, a feat unachievable with living systems.” According to the release: • “The results are the first demonstration that shows the evolution of associative learning in an artificial

Random Evolution Doesn’t Produce Algorithmic Functions in Animals

A bird does not fly just because it has wings; it needs a “flight” program in its brain. Explanations of the evolution of flight do not account for that.
In a recent article “Evolution and artificial intelligence face the same basic problem,” Eric Holloway addressed the conundrum faced by artificial intelligence theorists: How can “a random process with no insight into the environment… increase information about that environment within evolving DNA sequences and/or artificial intelligence programs. By what mechanism can randomness ‘know’ anything?” Dr. Holloway’s challenge goes to the heart of the problem with the materialist worldview regarding origins, evolution, and ultimately intelligence. Software vs. hardware in your body Imagine you knew absolutely nothing about roller skates. Then you awoke this morning to find your ankles and feet permanently installed into roller skates. Instantly, everything you

The Infinity Mirror Trap: Part 2: The Thought Determinism Paradox

The infinity mirror experience shows that thought determinism cannot explain all human thoughts
In Part 1 of this series, we saw how the belief that “every human thought is an illusion” proves empty and powerless when trying to account for the infinity mirror experience. Part 2 here puts another view held widely by science-trained people, materialism, to the same mirror test. Materialism is the view that everything we observe results from the interplay of matter and energy. Under materialism, each human’s every thought is produced by electrochemical events in the brain. As Marvin Minsky, an artificial intelligence pioneer, wrote in Society of Mind (1988), “Everything, including that which happens in our brains, depends on these and only on these: A set of fixed, deterministic laws and a purely random set of accidents.” Philosopher Daniel C. Dennett said much the

Why the Idea That the Human Mind Is an Illusion Doesn’t Work

There is a simple way to test whether our thoughts are all illusions
Sitting in a room with me are some smart people listening to a podcast of neuroscientist Sam Harris. They nod solemnly as Harris tells them that their thoughts are all illusions. No one has free will either, Harris says, both on the podcast and in his 2012 book, Free Will. Sir Francis Crick (1916–2004) said much the same in his 1994 work, The Astonishing Hypothesis. Harris and Crick are science-trained and Crick is a Nobelist. But popular culture influencers think the same way. The widely-read manga graphic novel artist, Masashi Kishimoto, has a character say in his 2009 work, Naruto, Every single one of us goes through life depending on and bound by our individual knowledge and awareness. And we call it reality. However, both knowledge and awareness are equivocal. One’s