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Chaim Bechor's avatar

The article assumes that AI can replaces workers just by introducing some "clever" IT processing, which is what current AI can do, but not much else. In fact, what is called "AI" today is simply a better way of solving certain programming issues that are not possible with traditional programming. Image Processing, for example, provides ability to classify and identify images, but the final decision must be human, as the case with radiologists proves - they use "AI" to analyze images, but judge the outcome and re-check based on their experience. The result: they can serve more people, they can allocate more time per case, and they can allocate time to identify new phenomena not part of the trained model, which is outside the abilities of the AI solution. This will be the case in most areas: Workers will be able to allocate more time to thinking, attention, care, and less on robotic tasks (think of customer support, being able to listen instead of search through mountains of documentation). The current wave of AI, mostly bringing NLP and machine vision to the forefront is just correcting a decade long deterioration in the quality of traditional solutions, bad app, unreliable backends etc. We need it, we are tired of low quality software. Nothing to be afraid of.

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Robert Berger's avatar

Yes! Yes! Yes! We should want and encourage automation to automate people out of jobs, particularly jobs that suck. AND we need to create institutions that ensure people still thrive and can pursue activities that can lead to a better world without worrying if they can have food on their tables.

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