Quip making the rounds: Would you trust a self-driving car from Google? Answer: Sure, if I needed a car that decided for me where I should go and then just drove me there.
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Because Marx held that the value of goods resided in the labor required to produce them, if goods were produced by automatons, without human labor, the economy would fall apart and capitalism would fail.
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Atkins is arguing that the fact that we do not understand what consciousness is, far from being a barrier to creating artificial consciousness, offers the hope that, once we do create them, artificially conscious entities will understand consciousness but we won’t. The proposition sounds a bit confused, no?
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At one point on the trip from Earth to Jupiter, HAL becomes suspicious that the crew might be sabotaging the mission. HAL then purposely tries to kill all the crew. The most logical explanation for this act is a coding error. HAL was programmed to operate on the basis that the mission took priority over human life.
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The social media companies will force us to define ourselves over against the specifications of our would-be programmers. And say what you want about the conflict, it will never be dull.
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Recently, we looked at philosopher of technology George Gilder’s Life after Google: The Fall of Big Data and the Rise of the Blockchain Economy. But what form would that decline take? A look at the advertising picture offers one clue.
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AI (machine learning) was probably faster and cheaper but the whole point of the system was supposed to be justice which, whatever the explanation, proved too difficult to calculate…
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In 2017, a group of 26 AI researchers got together at Oxford and created a report which offers a number of examples of malicious technologies of the near future.
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Consumer digital hells can be dreadful indeed but they are mostly of our own making. The companies that profit from them are not forcing us to live in them. That said, students should be taught in school that the internet’s virtual world features a great deal of fakery, including fake friends.
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Karl D. Stephan: Zimbabwe, an African country well-known for its human-rights abuses, has received advanced Chinese AI technology from a startup company in exchange for letting the firm have access to the country’s facial-recognition database. So China is helping the government of Zimbabwe to keep tabs on its citizens as well.
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It bears repeating: A technology is adopted when it solves problems as identified by users rather than problems as identified by developers.
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Children could easily give in to peer pressure from other children to give an incorrect answer in place of a correct one. How much difference it makes that the pressure is supplied by a robot would surely depend on how the child is taught to see robots.
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In his new book, he calls the successor era he envisions the “cryptocosm,” referring to the private encryption of data, represented by technologies such as blockchain.
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Algorithmic strategies can only be as good as the information that goes into them. Ignoring how the information is created causes us to misunderstand the dynamics of value creation. Algorithms can leverage information, they can’t create it.
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Within 16 hours, the Microsoft team had to shut down their chatbot Tay. With assistance from so many online sources, Tay’s ability to be nasty exceeded that of any individual human. And as for her replacement, Zo, who would never repeat those mistakes…
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The source for the claims seems to be a 2018 journal paper, “Real-time classification of auditory sentences using evoked cortical activity in humans.” The carefully described results are indeed significant but what the Daily Mail article didn’t tell you sheds a rather different light on the AI mind reader.
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Bitcoin solves a lot of tough problems in very ingenious ways. Unfortunately, however, those benefits don’t tend to translate well for end users, who are not nearly as ingenious as the people developing the system.
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In a recent piece, we looked at cognitive scientist Susan Schneider’s explanation as to why we couldn’t cheat death by uploading our minds to the internet. But some have made a career of marketing the idea
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The biggest problem today isn’t the sheer mass of data so much as the difficulty of determining what it is worth. The answer lies, unfortunately, in the undone studies and the unreported events. Machine learning will be a much greater help when those problems are addressed.
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Why do we constantly hear that driverless, autonomous vehicles will soon be sharing the road with us? Wolmar blames “gullible journalists who fail to look beyond the extravagant claims of the press releases pouring out of tech companies and auto manufacturers, hailing the imminence of major developments that never seem to materialise.”
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