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Robert J. Marks

Near-death experiences challenge human senses

One interesting aspect of near-death experiences is that survivors’ accounts speak of sensing things they had not sensed before. What they sense is non inconsistent with science but it is typically unknown to most people. Read More ›

Talking to a computer? Marks and Montañez offer tips on how to tell

Robert J. Marks: It’s always easy to determine if you are talking to a computer or a human. You can just ask them to compute the square root of 30 or something because a human would take a while to get the square root of thirty … Read More ›

Bob Marks: Bias is inevitable in AI; time to admit it

Marks’s point is that such biases are not a matter of villains taking over. It’s a normal feature of the way people think. And people program computers. Doubtless, it finds its way into evolution issues for which people say they ran a simulation on a computer. Read More ›

Robert J. Marks: What do AI and evolution have in common?

Many biologists claimed to have written code to simulate evolution. But the popularization of the No Free Lunch theorems showed that the computer programmer must infuse guiding information into the evolutionary program to make it work. To explain the diversity of creativity, an evolution process must be directed. Read More ›

Simpson’s Paradox: Numbers are stranger than we think

One outcome of Simpson’s Paradox is that machines cannot replace statisticians in analysing results. A great deal depends on interpretation, as Marks shows. “Clustering remains largely an art.” Read More ›

Robert J. Marks: The mathematics underlying our world is fascinating and full of surprises

He offers some here: When I teach a course, I too like to sell the sizzle at the beginning of each lecture. For a graduate course in information theory I teach, the students are told that they will learn why their cell phones use recently discovered coding that pushes the boundaries of what is mathematically possible in communication speed. I also tell them that we will prove that some things exist that we can also prove are unknowable. And there are numbers that a computer can’t compute. There also exists a single number, Chaitin’s number, that we know lies between zero and one. If we knew Chaitin’s number to finite precision, we could prove or disprove numerous open problems in Read More ›

2018 AI Hype Countdown 5: Robert J. Marks on the claim, AI Can Fight Hate Speech!

AI help, not hype, with Robert J. Marks: AI can carry out its programmers’ biases and that’s all: Some people may be under the illusion that AI detection of hate speech will be disinterested and fair. After all, the assessment is being done by a computer, which has no ideology or political leanings. An added strength is that the program is being written by “scientists” who are never corrupted by political bias. 🙂 In reality, every computer program contains bias. Without bias, computers cannot do anything smart. This is a major theme of the book I co-authored titled Introduction to Evolutionary Informatics. The question is, what is the bias? … More. See also: 2018 AI Hype Countdown 6: AI Can Read More ›

2018 AI Hype Countdown 6: Robert J. Marks on the claim, AI Can Even Find Loopholes in the Code!

AI adopts a solution in an allowed set, maybe not the one you expected:. In the same paper in which researchers purported to find examples of AI creativity, we also read the following statement about problems with performance: “Exacerbating the issue, it is often functionally simpler for evolution to exploit loopholes in the quantitative measure than it is to achieve the actual desired outcome.” One example they offered of this type of gaming the system was a walking digital robot that moved more quickly by somersaulting than by using a normal walking gait. That was a very interesting result. But again—recognized or not — somersaults were allowed in the solution set offered by the programmer. … I was once working Read More ›

Proven: If you torture a Big Data enough, it will confess to anything

In his fascinating new book The AI Delusion, economics professor Gary Smith reminds us that computers don’t have common sense. He also notes that, as data gets larger and larger, nonsensical coincidences become more probable, not less. Read More ›

Robert Marks Talks Computers with Michael Medved

Robert J. Marks is one of the authors of Introduction to Evolutionary Informatics, with design theorist William Dembski and Winston Ewert. There’s little danger, he thinks, in computers ruling us but considerable danger that we can use them to magnify the impact of our errors. More. Here’s the podcast. See also: Human consciousness may not be computable One model of consciousness would mean that conscious computers are a physical impossibility. (Robert Marks)