Yes, that is abundantly clear. I would even go one step further: those warning against AI rising up aggravate this problem; because of them, people think AI is more than it is, prompting them to delegate more responsibilities to AI than it can handle.
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Yup. It's the same thing in the Economic of AI. The assumption that AI will 'succeed' is leading researchers & policymakers to over-focus on some problems and neglect others. More in this blog (intro excerpted): https://www.nesta.org.uk/blog/complex-economics-artificial-intelligence/ … & working paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3294552 …pic.twitter.com/LoG50s89Xd
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This is an entire lack of good design as well. The company says “driver error.” Any company who can claim that a user is to blame for horrible design isn’t doing design or engineering.
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I think that people might be getting a bit “release happy.” Good development needs time. It should not be a race for time, it should be quality first.
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Yet another horrific example of an unexpected, adverse behavior emerging, not due to flawed
#AI#ML#Algorithms , but due to the "Garden of Eden" conundrum predicted by adv calc n space topology. Similar events w/@toyota@tesla@boeing have already killed dozens-#aiethicspic.twitter.com/aDhtrclmMt
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Our own poll of 33
#AI researchers on the topic of "20 Year AI Risks" seems to reflect your sentiments: https://emerj.com/ai-market-research/artificial-intelligence-risk/ … As for 100 Year Risks, the consensus on risks gets a bit spookier. In the coming few decades, it may indeed be the economy that we worry about.pic.twitter.com/oZ77UmoIQn
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Not so much software engineering falling on the job but best engineering practice to start with. One problem is many in software engineering actually never went to engineering school and completely lack exposure to failure mode analysis and safety design best practices.
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Touché. Plus let’s not forget myriad risks associated with AI enabled automatic trading software.
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100 bucks says they have no idea what happened.
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