By their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but the heuristics of AI are not necessarily the human ones.
Sentiment: NEGATIVE
There is huge demand for artificial intelligence technologies.
Humans have 3 percent human error, and a lot of companies can't afford to be wrong 3 percent of the time anymore, so we close that 3 percent gap with some of the technologies. The AI we've developed doesn't make mistakes.
Is artificial intelligence less than our intelligence?
By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.
We must develop as quickly as possible technologies that make possible a direct connection between brain and computer, so that artificial brains contribute to human intelligence rather than opposing it.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
The sad thing about artificial intelligence is that it lacks artifice and therefore intelligence.
The systematic experimental study of reproducible errors of human reasoning, and what these errors reveal about underlying mental processes, is known as the heuristics and biases program in cognitive psychology. This program has made discoveries highly relevant to assessors of global catastrophic risks.
Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.
I am suggesting that we recognize that in network and interface research there is something as profound (and potential wild) as Artificial Intelligence.
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