Operational Collective Intelligence Of Humans And Machines

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*Correspondence: Tiago Buatim Nion Da Silveira tbnsilveira@gmail.com †ORCID: Heitor Silvério Lopes orcid.org/0000-0003-3984-1432 Received 2023 Apr 21; Accepted 2023 Aug 1; Collection date 2023. Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT."

What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better understand the artificial intelligence systems that are becoming a more significant part of our... These questions may be deeply philosophical, but for Phillip Isola, finding the answers is as much about computation as it is about cogitation. Isola, the newly tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS), studies the fundamental mechanisms involved in human-like intelligence from a computational perspective. While understanding intelligence is the overarching goal, his work focuses mainly on computer vision and machine learning. Isola is particularly interested in exploring how intelligence emerges in AI models, how these models learn to represent the world around them, and what their “brains” share with the brains of their human creators. arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

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