AI Learning Mechanism
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AI Learning Mechanism

SupermindsWhy deep learning is different from deep understandingRadiologists and “deep medicine” Machine predictions and human decisions Caregiving The best way to predict the future of work is to invent it Why humans are underrated AI Learning MechanismDeep LearningYet the old idea that “general” AI would mimic human cognition has, in practice, given way to today’s multitude of practical, narrow AIs that operate very differently from the human mind. Their ability to generally replace human workers is far from clear.Why humans are underratedA key theme that has emerged from decades of work in AI and cognitive science serves as a useful touchstone for evaluating the relative strengths and limitations of human and computer capabilities in various future of work scenarios. The best way to predict the future of work is to invent itCall center operators handle billions of customer requests per year—changing flights, refunding purchases, reviewing insurance claims, and so on. To handle the flood of queries, organizations commonly implement chatbots to handle simple queries and escalate more complex ones to human agents.Radiologists and “deep medicine”Radiology is another field commonly assumed to be threatened by technological unemployment. Much of radiology involves interpreting medical images—a task at which deep learning algorithms excel. Machine predictions and human decisionsUsing the mechanism of swarm intelligence to create a human-machine collective intelligence possesses the thought-provoking appeal of good science fiction. But more straightforward forms of human-machine partnerships for making better judgments and decisions have been around for decades—and will become increasingly important in the future. CaregivingIn a well-known essay about health coaches, the prominent medical researcher and author Atul Gawande provides an illuminating example of Slaughter’s point.
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publish time: 2021-02-01
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AI Learning Mechanism includes deep learning, radiologist and 'deep medicine', machine prediction and human decisions, caregiving, and two 'why'.One is 'why deep learning differs from deep understanding?'.The other is 'why human are underrated?'.Yet the old idea that “general” AI would mimic human cognition has given way to today’s multitude of practical, narrow AIs that operate differently from the human mind.

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