Mind Matters Natural and Artificial Intelligence News and Analysis


Beginning of the game, Two chess teams in front of different color white and black on the chessboard

AI Flags “Black” and “White” Language of Chess as Racist

New research shows the weakness of depending on AI to accurately flag racist online content

Last summer, artificial intelligence algorithms took down a video on YouTube’s most popular chess channel mid-livestream and flagged it as containing “harmful and dangerous” content. New research into the incident indicates that artificial intelligence algorithms programmed to scan for racist and other hateful speech online may be to blame. On June 27, 2020, the host of the most popular chess chanel on YouTube, Antonio Radić, Croatian chess player, was conducting a livestream with chess Grandmaster Hikaru Nakamura. Around the one-hour-and-twenty-minute mark of the discussion of chess, the video was cut off and removed from Radić’s channel. When Radić (or anyone else) tried to access the video, they were met with a message from YouTube: “We’ve removed this video because it…

backside graduation hats during commencement success graduates of the university, Concept education congratulation. Graduation Ceremony ,Congratulated the graduates in University during commencement.

Will Machine Learning Disrupt Academic Rankings?

A case study in the best computer science and artificial intelligence programs

Note: Our author, Ross Gulik, an educational consultant who closely follows the academic ranking industry, offers us a look at how such rankings are created and how they might be improved. 1 Introduction to AcademicInfluence.com AcademicInfluence.com is a new website that claims to do academic rankings right. Getting academic rankings right has become a pressing concern for higher education. As AcademicInfluence.com correctly observes on its methodology page, schools face enormous pressure to perform well in the big annual rankings. The big academic ranking organizations (such as US News and Times Higher Education) carry enormous weight. If a school slips in these annual rankings, it can affect student enrolments, the bottom line, and the prestige of the institution. This pressure leads…

Bottom view close-up of four white surveillance cameras

How Toxic Bias Infiltrates Computer Code

A look at the dark underbelly of modern algorithms

The newly released documentary Coded Bias from Shalini Kantayya takes the viewer on a tour of the way modern algorithms can undermine justice and society and are actively subverting justice at the present moment. Coded Bias highlights many under-discussed issues regarding data and its usage by governments and corporations. While its prescriptions for government usage of data are well considered, the issue of corporate use of data involves many additional issues that the film skirts entirely. As the film points out, we are presented these algorithms as if they were a form of intelligence. But they are actually just math—and this math can be used to, intentionally or unintentionally, encode biases. In fact, as Bradley Center fellows Robert J. Marks…

Professional Japanese Development Engineer is Testing an Artificial Intelligence Interface by Playing Chess with a Futuristic Robotic Arm. They are in a High Tech Modern Research Laboratory.

George Gilder on Gaming AI

AI is good at winning games. But how does this (and other) accomplishments translate to applications in the real world? George Gilder and Robert J. Marks discuss artificial intelligence, games, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes 00:35 | Introducing George Gilder 02:12…

virtual keyboard

SwiftKey Co-founder: Computers Can’t Just “Evolve” Intelligence

Can vain hopes for AI spring from a wrong understanding of evolution?
Ben Medlock asks us to look at self-organization as a principle of life, lacking in computers. Read More ›
abstract binary code science computing center

Can AI Really Evolve into Superintelligence All by Itself?

We can’t just turn a big computer over to evolution and go away and hope for great things

At Science earlier this year it was claimed that Darwinian evolution alone can make computers much smarter. As a result, researchers hoped to “discover something really fundamental that will take a long time for humans to figure out”: Artificial intelligence (AI) is evolving—literally. Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could discover new approaches to AI. Edd Gent, “Artificial intelligence is evolving all by itself” at Science (April 30, 2020) How does that work? The program discovers algorithms using a…

Oh no!

Six Limitations of Artificial Intelligence As We Know It

You’d better hope it doesn’t run your life, as Robert J. Marks explains to Larry Linenschmidt

The list is a selection from “Bingecast: Robert J. Marks on the Limitations of Artificial Intelligence,” a discussion between Larry L. Linenschmidt of the Hill Country Institute and Walter Bradley Center director Robert J. Marks. The focus on why we mistakenly attribute understanding and creativity to computers. The interview was originally published by the Hill Country Institute and is reproduced with thanks.  https://episodes.castos.com/mindmatters/Mind-Matters-097-Robert-Marks.mp3 Here is a partial transcript, listing six limits of AI as we know it: (The Show Notes, Additional Resources, and a link to the full transcript are below.) 1. Computers can do a great deal but, by their nature, they are limited to algorithms. Larry L. Linenschmidt: When I read the term “classical computer,” how does a computer function? Let’s build on…

Real Php code developing screen. Programing workflow abstract algorithm concept. Lines of Php code visible under magnifying lens.

Will Ideas or Algorithms Rule Science Tomorrow?

David Krakauer of the Santa Fe Institute offers an unsettling vision of future science as produced by machines that no one really understands

The basic problem is that accepting on faith what we can’t ever hope to understand is not a traditional stance of science. Thus it’s a good question whether science could survive such a transition and still be recognizable to scientists. But does turning things over to incomprehensible algorithms, as Krakauer proposes, really work anyway? Current results from a variety of areas give pause for thought.

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Computer algorithm productivity efficiency, cyber security concepts

Why we don’t think like computers

If we thought like computers, we would repeat package directions over and over again unless someone told us to stop

Robert J. Marks: We have a number of aspects that we exhibit that are not algorithmic. I would say, qualia, creativity, sentience, consciousness are probably things that you cannot write a computer program to simulate.

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Machine Learning, Part 2: Supervised Learning

Machine learning isn’t hard to understand; it’s just different. Let’s start with the most common type

The neat thing about machine learning is that the algorithm can extract general principles from the dataset that can then be applied to new problems. It is like the story that Newton observed an apple fall and then derived from it the general law of gravity that applies to the entire universe.

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Stones balanced on table with a pen

Can Computer Algorithms Be Free of Bias?

Bias is inevitable but it should be recognized and admitted

Gregory Coppola’s revelations about Google’s politically biased search engine shone a spotlight on how algorithms are written.

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Vintage abacus

Robotic Accounting Department

The future of number crunching

Technology has almost entirely replaced the travel agent as well as many brick and mortar stores. But high tech tools like bots are replacing employment in, of all places, accounting. Show Notes 01:30 | Introduction; Jeremiah Marks 02:00 | Forbes and AI accounting prime time 03:00 | What is Mint? 04:48 | Natural language recognition in accounting 06:15 | What…

Scrabble pieces with numbers and letters

The Numbers Don’t Speak for Themselves

The patterns uncovered by machine learning may reflect a larger reality or just a bias in gathering data

Because Machine Learning is opaque—even experts cannot clearly explain how a system arrived at a conclusion—we treat it as magic. Therefore, we should mistrust the systems until proven innocent (and correct).

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Exporting and Securing Technologies of Today and Tomorrow

U.S. Export Control and Research Espionage

Technology is vital in commerce and war. Corporations spend billions in development and don’t want to get ripped off. Technology and AI, more than ever, determine military superiority. What are the laws that protect technology and how are they enforced? Show Notes 01:20 | Introduction; Daniel M. Ogden, J.D. 03:06 | Reasons for protected technology 04:00 | Determining what needs…


Google Search: Its Secret of Success Revealed

The secret is not the Big Data pile. No, Google found a way to harness YOUR wants and needs

Google is one of the most widely misunderstood success stories of our time. Many of us equate Google with “Big Data,” that is, amassing huge quantities of data and then finding useful statistical patterns. But is that how it succeeded? In Life after Google: The Fall of Big Data and the Rise of the Blockchain Economy, George Gilder criticizes Google primarily on two fronts: First, it is a “walled garden,” a great platform, but inherently isolated and closed. That is a point worth exploring, but not the focus here. The second point, the one I want to touch on, is that Big Data’s day has come and gone. Because Google is a Big Data company, its brightest days are behind it.…

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 ›

Who needs wisdom? We’ve got algorithms!

On a decision about a TV series, the Algorithm offered a narrow view (ratings) while Hollywood offered a “big picture” view. Who was right?
While we are seeing some pushback against the movement to “algorithmicize” everything, few lay out explicitly the limitations as well as the benefits of the algorithms increasingly used to make decisions. Read More ›

What Humans Do That A.I. Can’t

AI can do many things faster and better than humans. It can beat humans in chess, outsmart us in Jeopardy, and defeat us at GO. The question remains. Is there anything a human can (and always will) do better than an AI? Show Notes 01:00 | Eric Holloway Introduction 01:57 | Fold It, a showdown between AI and amateurs 03:40 | Jay…