Working Up

by Dwayne Phillips We seem to be far more tolerant of technical failures. When I was a kid (we played baseball in the streets and things like that), I often heard the excuse, “The computer is down.” That excuse brought all sorts of grievous vexation that excuses usually bring. It was recognized as an excuse […]

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by Dwayne Phillips If AI wrote this, is that okay? The question isn’t that difficult. In the past few months, we have all sorts of artificial intelligence or machine learning sites “writing” things for us. Well, this isn’t that intelligent or learned (in my humble opinion), but clever mimicry. Still it is quite useful. Why […]

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by Dwayne Phillips It seems that everyone wants to say or write AI or artificial intelligence these days. Please stop misusing the term. Our Federal Trade Commission wants to regulate AI. The lack of literacy is astounding, but then again, this is the pinnacle of regulating instead of creating. The FTC, with all its good […]

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by Dwayne Phillips There is nothing wrong with mimicry. Let’s stop kidding ourselves; much of today’s machine learning is simple mimicry. mimicry: noun, the action or art of imitating someone or something, typically in order to entertain or ridicule. Let’s be candid here. Much of Machine Learning (ML)—a currently popular branch of Artificial Intelligence (AI)—is […]

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by Dwayne Phillips The number crunchers now rule the world. How did that happen? Many years ago I was a number cruncher. I did then what people still call “digital signal processing.” We took analog signals, magically made them numbers in computers via gadgets called analog-to-digital converters or A/D converters, and happily applied digital approximations […]

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by Dwayne Phillips Data, data, data. Enough already. Just tell me something I don’t know. Data is the new oil. Data is the new bacon. Data will fuel the economies of the future. Data will determine the winner of the next world war. Data, data, data. I work with data. On some days, some folks […]

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by Dwayne Phillips We move forward to the 1980s when the lawyers prevented artificial intelligence (AI) from helping us do our jobs. Note: This post is about legal maneuvers that prevent helpful AI systems. It is not about AI systems that were built poorly and mimic some human tendencies to discriminate against persons illegally. Those […]

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by Dwayne Phillips Automation and artificial intelligence promise to take away the bane of some work and make us free for more meaningful work. Do we want that? Automation frees us from that old work that is just the same old same old. We will have time on our hands and be free for more […]

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by Dwayne Phillips “Machine Learning” is one of the biggest misuses of the English language I have seen. The machine isn’t learning. Let’s try to remember what is happening. Data science is a big deal these days. Well, it is until you read the fine print in the Help Wanted ads about data science jobs. […]

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