{AI TALKS WITH TEA/COFFEE #37} AI is changing the physics of collective intelligence—how do we respond?

Bldg: Dunkin, 239 main dunstable rd, nashua, New Hampshire, United States, Virtual: https://events.vtools.ieee.org/m/523274

https://www.brookings.edu/articles/ai-is-changing-the-physics-of-collective-intelligence-how-do-we-respond/ Imagine the world suddenly had safe and cheap human teleportation. Any group of people, anywhere on Earth, could step into a booth and appear together in the same room a second later. And imagine that when everyone in the room spoke at the exact same time, everyone could understand everything said instantaneously. It wouldn’t make sense to just bolt this technology onto our existing organizations and institutions. It would force communities of all scales to radically rethink how to assemble and collaborate in work, education, policymaking, and civic life. For scientists and practitioners dedicated to making shared problem-solving more effective and inclusive within and across policy domains, teleportation via the magic booth would create new possibilities for assembling the right people, at the right moment, around the right problems—and it would demand new norms, incentives, and infrastructures to ensure human agency and societal well-being. Generative artificial intelligence (AI) does not transport bodies, but it is already starting to disrupt the physics of collective intelligence: How ideas, drafts, data, and perspectives move between people, how much information groups can process, and how quickly they can move from vague hunch to concrete product. These shifts are thrilling and terrifying. It now feels easy to build thousands of new tools and workflows. Some will increase our capacity to solve problems. Some could transform our public spaces to be more inclusive and less polarizing. Some could also quietly hollow out the cultures, relationships, and institutions upon which our ability to solve problems together depends. The challenge—and opportunity—for scientists and practitioners is to start testing how AI can advance collective intelligence in real policy domains, and how these mechanisms can be turned into new muscles and immune systems for shared problem-solving. Authors Jacob Taylor Jacob Taylor Fellow - Global Economy and Development, Center for Sustainable Development jacob-taylor-58969041 Scott E. Page Scott E. Page Nonresident Senior Fellow - Global Economy and Development, Center for Sustainable Development Bldg: Dunkin, 239 main dunstable rd, nashua, New Hampshire, United States, Virtual: https://events.vtools.ieee.org/m/523274