Watson Health is scaling back, Facebook M never delivered, driverless cars are facing challenges. Not saying another AI winter is coming, but overpromising is certainly something that could lead to one.https://www.statnews.com/2018/06/15/ibm-watson-health-scale-back-hospital-business/ …
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Depends how you assess outlier. If you compare ratio of AI accidents/deaths to humans drivers, the “problem” is much smaller. Not to mention AI will only improve as each vehicle accumulates data and adds to the geocoded whitelist; and that doesn’t account for future innovations.
You don’t know how many of the Teslea miles were unassisted by humans/with autopilot engaged, you are ignoring subsequent deaths etc (post hoc selection), and comparing highway driving with other miles etc. I would not rest my life on that particular NTSB report or small sample.
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The small section of highway driving I referenced helped your argument as that was where 1 death occurred and thus limited sample to 1/90k. There are many more other highway and road miles driven w/o deaths (I can find) in last 2 years. What subsequent deaths am I ignoring?
Thanks. Twitter will use this to make your timeline better. UndoUndo
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What other deaths are attributable to AI? Is your post hoc selection reference implying the Tesla’s are causing others to crash and die, yet going unreported/unaccounted? All deaths are “problems” but AI doesn’t get drunk, drowsy, text. Must maintain perspective as AI improves.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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