Right now, while artificial intelligence is concentrating on profit-generation, natural knowledge has proven to be higher than up to the task of manipulating it, as if creeping up behind someone distracted by a shiny object.
We’re getting to understand just how adroitly AI can be performed as we learn more and more about Russia’s direction of social media during the 2016 presidential election. Facebook’s much-lauded AI was fighting to “consume as much of your time and deliberate attention as possible,” as Facebook’s first director Sean Parker recently put it to Mike Allen. After all, as we’ve frequently been told, “You’re not the customer you’re the product” meant to attract advertisers to the platform. Cleverly parsing our newsfeeds for clues to our most addictive concerns and associations, Facebook’s AI anyhow completely failed to notice it was being gamed by Russia, as perceived in this stunning exchange between Senator Al Franken and Facebook General Counsel Colin Stretch.
What not man explicitly says is that it was the negative job of Facebook’s AI to do anything but maximize the platform’s gains. Democracy is not a Facebook’s problem until it was. Stretch’s classic euphemism is that Facebook’s algorithms should hold had a “broader lens.”
This lack of a comprehensive lens is at the root of raising concerns that automation is continuing to mean the loss of a meaningful number of jobs. Katherine Dempsey, writing for The Nation, addressed the issue via email with deep-learning expert Yoshua Bengio, and he summed up the end play this way:
“AI will apparently exacerbate differences, first with job disruptions a few personalities will benefit greatly from the wealth created, while a large amount will suffer because of job loss and second because wealth produced by AI is likely to be fixed in a few companies and a few countries.”
The future currently under development is frightening if you’re not among those few people. Dempsey cites a McKinsey & Company report, ‘A Future That Works‘, representing a time in which fewer actually will. According to that report, 51% of all the work done in the U.S. economy could be automated at saving for companies.
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