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Artificial Intelligence

Barry Schwartz #mustread on efficiency and why ‘too much of a good thing can be a very bad thing’

The term used to describe this approach to decision-making is satisficing. And satisficing with an eye toward a radically uncertain future might be called robust satisficing. Satisficing is a form of insurance – insurance against financial meltdowns, global pandemics, nasty bosses, boring teachers and crappy roommates. Insurance can seem stodgy – like the guy who wears a belt and suspenders. Perhaps we don’t need both, but what happens if we have neither?

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New video of my virtual Keynote at Brazil Futures Summit: our future with/post Corona

This is part 1 of my virtual keynote at the Brazil Futures Summit on June 19, 2020, showcasing my new virtual keynote style with immersive 'weather-man animations'. For more details on the event please go to https://wfuturismo.com/summit/ In this talk I share my thoughts on the with/post corona future and what I call the Great Transformation: BigTech, BigHealth BigState. Survive, collaborate, show solidarity, adapt, transform.

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USEFUL HUMANS: Gerd Leonhard on the future of work, jobs, education and training

This article accompanies today's release of my new film “How the Future Works”. First, I’ll show what’s happening right now, and why I think it’s urgent to ponder the future of work, jobs, education and training. Then I’ll talk about what we, personally, can do: and lastly I’ll lay out what governments and societies need to do to ensure that our future will be mostly heaven.

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Tacit knowledge, robots and AI – good read via AEON

A great deal turns on the status of tacit knowledge. On this much the champions of a machine learning-powered revival of command economics and their critics agree. Tacit knowledge is the kind of cognition we refer to when we say that we know more than we can tell. How do you ride a bike? No one can say with any precision. Supervision helps, but a beginner has to figure it out for herself. How do you know that a spot is a freckle and not a cancer? A specialist cannot teach a medical student simply by spelling out her thinking in words. The student has to practise under supervision until she has mastered the skill for herself. This kind of know-how cannot be imparted or downloaded. Can robots assimilate tacit knowledge? Mid-20th-century arguments against centralised planning assumed that they could not. Some of the achievements of machine learning – such as eclipsing specialist doctors at spotting cancer – suggest otherwise. If robots can retain tacit knowledge, AI-powered central planning might well outperform decentralised market interactions in coordinating economic activity. But there is good reason to believe that the mid-century anti-planners were right. Tacit knowledge will probably remain the preserve of....

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