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Thread: Machine behaviour

  1. #1

    Machine behaviour

    Contributors:

    MIT Media Lab

    youtube.com/MachineBehavior

    Article "Machine behaviour"

    by Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael Wellman
    April 24, 2019

    Behavior on Wikipedia

  2. #2
    Article "MIT finally gives a name to the sum of all AI fears"
    Rather than simply being scared of “intelligent machines,” say researchers at MIT’s Media Lab, society needs to study algorithms with a multi-disciplinary approach akin to the field of ethology.

    by Tiernan Ray
    April 25, 2019

  3. #3


    "AI and the Human Experience" with Sandy Pentland & Manuel Cebrian

    Published on Mar 29, 2019

    Join MIT Media Lab’s Sandy Pentland, Professor of Media Arts and Sciences, and Manuel Cebrian as they discuss how artificial intelligence and other machines can improve the human experience. Dr. Cebrian is a research scientist with the Scalable Cooperation group at the MIT Media Lab.

    Dr. Pentland, one of the most cited researchers in the world, helped to create the MIT Media Lab more than thirty years ago. Dr. Pentland has dedicated his career to exploring the intersection of humanity and machines and how technology can be used to augment the human experience.
    In this conversation, Dr. Pentland discusses his distaste for robots designed to replicate the actions and thoughts of humans. He prefers to imagine robotics that will give people “super powers,” as he says, enabling beneficial human-to-human cooperation across the world. To this end, he works to bring together otherwise siloed academic disciplines to move technology forward.

    For example—while people constantly discuss government and its actions, discussion is fueled mostly by hearsay that falls along party lines. Factual Information about governmental systems is not readily available to the public. Employing artificial intelligence to analyze and create unbiased reports on the efficacy of government programs could allow citizens to make truly informed decisions about their democracy.

    Dr. Pentland is optimistic about the future of artificial intelligence and humanity. Rather than fearing AI-driven job loss, he suggests technology has already enhanced productivity of humans. The evolution of the cellphone, for example, precipitated an explosion of productivity. When used correctly, more AI like this can work with humans rather than against us.

    “Conversations in Machine Behavior” sets out to define the concept of Machine Behavior and argue for its inclusion in research institutions as a field of study. Once artificial intelligence reaches a point at which it can make decisions and carry out autonomous actions, humanity must treat it and study it as an actor separate from its creators. Drawing from computer science, human and animal behavioral studies, psychology, robotics, and more, the field of Machine Behavior is a comprehensive way to understand the future of thinking.

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