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Monday, November 28, 2016

The irony of Artificial Intelligence

The indiscriminate use of the term "Artificial Intelligence," by analysts and consultants, demean what it was originally meant to be and is still supposed to imply. Those who have worked in this area for decades, much before the internet, search and autonomous vehicles existed, know fully well that there is nothing "artificial" about it. A lack of definition for "consciousness," has constrained computer scientists and philosophers alike from conceptualizing intelligence. Faster computers, memory and unlimited capital are unlikely to advance the field any further unless we return to thoughtfully studying the underlying issues. Let's do that before a few gamers think that they have accidently invented the "artificial mind."

Intelligence, something solely attributed to humans till very recently, is now shown to be present in a plethora of biological systems. Biological systems, however, are not an infinite array of on-off switches nor do they process information as computer systems do. So the idea that one can network a large number of silicon based idiot boxes, using mathematics from the 60s, to replicate the brain is fraught with issues. The recent fad of "artificial general intelligence," - the ability to teach a computer virtually anything such that it can not only replicate a human but also become a lot better, is a nice fantasy. What the technologists may be missing is that it is not a software problem. The millennials have become good at software but projecting what one is good at onto hard problems may not the best path forward.

Nature had nearly 3.8 billion years to perfect the underlying hardware to deliver intelligence. It was a slow and laborious process and it was never a software problem. Once the hardware was perfected, it was able to run virtually any software. This may give a clue to those plunging head first into teaching machines to "think," using software and age old mathematics. More importantly, the current architecture of computing representing calculators is not amenable to modeling intelligence. Just as there is a distinct difference between Arithmetic and Mathematics, conventional computers differ significantly from a true quantum computer. Adding and subtracting numbers fast is one thing but conceptualizing what it means is quite another.

The unfortunate term, "Artificial Intelligence," has led many mediocre lives astray. And God, with an immense sense of humor, seem to still lead them down blind alleys.

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