How the Internet’s Collective Human Intelligence Could Outsmart AI

What if computers could take the words we type on the internet and convert them into a language that describes what they actually mean? Analyzing data pulled from social media would reveal insights into the deeper questions about our real motives and feelings, instead of mere statistics. Pierre Lévy, a French philosopher who’s been writing about cyberspace since the 1990s and who is the Canada research chair in collective intelligence at the University of Ottawa, is working on software that can do just this. He’s done the math and annotated the entire French dictionary with a language—or, as he calls it, a hyper-language, since it describes words that already form a language of their own—that he calls IEML, or the Information Economy MetaLanguage. All that’s left is to do the actual coding to turn it into an automatic system.

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About Giorgio Bertini

Director at Learning Change Project - Research on society, culture, art, neuroscience, cognition, critical thinking, intelligence, creativity, autopoiesis, self-organization, rhizomes, complexity, systems, networks, leadership, sustainability, thinkers, futures ++
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One Response to How the Internet’s Collective Human Intelligence Could Outsmart AI

  1. Pingback: Yurtta sulh, cihanda sulh (peace at home, peace in the world): Gaia’s Brain Responds to Ankara, Turkey via Art on ARPANET | Dr. William Kaya Erbil's Blog

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