Mind Matters Natural and Artificial Intelligence News and Analysis

Tagcausation

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Cropped photo of businessman analyzing business diagram, marketing statistics and finance market graphs on laptop monitor in the office.

Confusing Correlation with Causation

Computers are amazing. But they can't distinguish between correlation and causation.

Artificial intelligence (AI) algorithms are terrific at discovering statistical correlations but terrible at distinguishing between correlation and causation. A computer algorithm might find a correlation between how often a person has been in an automobile accident and the words they post on Facebook, being a good software engineer and visiting certain websites, and making loan payments on time and keeping one’s phone fully charged. However, computer algorithms do not know what any of these things are and consequently have no way of determining whether these are causal relationships (and therefore useful predictors) or fleeting coincidences (that are useless predictors). If the program is black box, then humans cannot intervene and declare that these are almost certainly irrelevant coincidences. Even if Read More ›

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Sculpture portrait of Aristotle

Sean Carroll: “How Could an Immaterial Mind Affect the Body?”

The well known physicist thinks free will is nonsense. But has he investigated the classical understanding of causation?

Sean Carroll is a theoretical physicist at Johns Hopkins University who takes an atheist and materialist philosophical perspective on nature and on science. I have disagreed with him often — I’m in no position to judge his scientific acumen, but his philosophical acumen leaves a lot to be desired. An example of this is a question he asks in a recent documentary about free will (which I haven’t watched yet). In the trailer for the movie, Carroll asks, How in the world does the immaterial mind affect the physical body? Carroll’s denial of libertarian free will is based on this question, and of course, he believes that the immaterial mind does not exist and, if it did exist, could not Read More ›

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Blockchain Network, Data Stream

Define Information Before You Talk About It: Egnor Interviews Marks

Has anyone ever given you some useless information? What does it even mean for information to be meaningful? This week, on Mind Matters News, guest host Dr. Michael Egnor interviews our own Robert J. Marks about information, as well as the creative limits of artificial intelligence, and why evolutionary algorithms aren’t the magic bullet they’re often presented to be. Show Read More ›

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Quitting smoking - male hand crushing cigarette

Yellow Fingers Do Not Cause Lung Cancer

Neurosurgeon Michael Egnor and computer engineer Bob Marks look at the ways Big Data can mislead us into mistaking incidental events for causes

It’s easy to explain what “information” is if we don’t think much about it. But what if we ask a student, what does your term paper weigh? How much energy does it consume? More or less matter and energy than, say, lightning striking a tree? Of course, the student will protest, “But that’s not the point! It’s my term paper.” Exactly. So information is very different from matter and energy. It means something. Realizing that information is different from matter and energy can help us understand issues like the difference between the causes of a problem (causation) and circumstances that may be associated with the problem but do not cause it (correlation). In last week’s podcast, “Robert J. Marks on Read More ›

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Code on computer monitor

Robert J. Marks on Information and AI (Part I)

What is information? How is information created? Will artificial intelligence ever be creative? Dr. Michael Egnor discusses information theory, correlations, and creative artificial intelligence with Dr. Robert J. Marks. Show Notes 00:27 | Introducing Dr. Robert J. Marks 01:14 | What is information? 06:44 | Exact representations of data 08:29 | A system with minimal information 09:27 | Information in Read More ›

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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).

Read More ›
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Hamlet: Did his perplexing neurotransmitters cause the tragedy?

The neuroscientist working from a mechanical perspective would study the material and efficient causes of Hamlet’s act of revenge.
It is essential to note that the Aristotelian neuroscientist, while delving into the complexities of Shakespeare’s remarkable psychological portrayal of this tortured man, can also study Hamlet’s murder of Claudius in just the same way that the mechanistic neuroscientist can. But he doesn’t lose the plot. Read More ›