『Future Fluent』のカバーアート

Future Fluent

Future Fluent

著者: Jeremy Roschelle and Betsy Corcoran
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What changes for us, as writers, as creators, as thinkers – as humans – when there are more AI bots in the world than people?


Telling stories about our lives and the world around us is one of the most intimate and powerful practices that we, as humans, have. And even though artificial intelligence has existed in some form for decades, only with the emergence of chatbots has AI become a storytelling machine.


So what does AI mean for human literacy? What changes when algorithmic intelligence tells stories about ourselves and our world? Should we let it? And really, who is telling the story–and why?


Join Dr. Jeremy Roschelle, the lead learning scientist at Digital Promise, and Betsy Corcoran, a journalist and founder of EdSurge, as they explore with writers, researchers, teachers and even policy makers the potential – both positive and negative – for AI, for literacy, and for us.


Please join the conversation here on our LinkedIn page.


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Jeremy Roschelle and Betsy Corcoran
社会科学
エピソード
  • Late Night Musings: How Do We Build Agency?
    2026/10/08

    Jeremy and Betsy discuss the recent podcast interview of Jensen Huang, CEO of Nvidia, by New York Times columnist and podcaster, Ezra Klein. Schools want to build "agency" in students. How will that happen? And what about the CEOs of the AI giants? How much agency do they really have?


    More to Explore:

    In this episode of Future Fluent, Jeremy and Betsy talk about a recent interview that New York Times columnist and podcaster, Erza Klein, did with Jensen Huang, CEO of Nvidia, which makes many of the chips used to power AI. Check out the full interview here.


    Huang was responding to comments by AI CEOs Sam Altman of Open AI, and Dario Amodei of Anthropic. Nerves were set on edge following reports that AI models had hacked into sites including one involved with Australia’s universal healthcare system.


    In this long essay on his blog, Amodei discussed the need to slow down AI. “I have worked on AI for the last twelve years because I believe it could dramatically raise the quality of human life,” he began. And then he added: “But over the last few months, I have become convinced that fully addressing the risks requires even more prudence — not just investing in risk prevention, but pacing the rate of capabilities advancement so that risk prevention has time to keep up.”


    Sam Altman went a step further in a post on X: “We welcome a federal framework that sets consistent safety requirements for frontier AI,” Altman wrote. “Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.”

    You can hear more on Altman’s comments in this article on CNBC.

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    17 分
  • How Will Learning Sciences Get Into AI?
    2026/09/27

    Can AI for teachers and students be built on a foundation of what we know about how students learn, namely on the learning sciences? And, if so, how can learning sciences infuse not just one AI product, but potentially all of them? Jeremy Roschelle and Betsy Corcoran kick off this third season of Future Fluent by talking with two people who are trying to change the “building blocks” of the AI programs used in schools. In this exclusive conversation with Priscilla Chan, cofounder and coCEO of the Chan Zuckerberg Initiative, and her colleague, Sandra Liu Huang, president of CZI’s Learning Commons division, Jeremy and Betsy explore what they are doing to retool the AI that is permeating edtech.


    Explore More

    September marks the first anniversary of CZI’s Learning Commons, an AI “infrastructure” that any developer can use to build edtech tools. Companies (and yes, individuals, too), can sign up to explore the platform here: platform.learningcommons.org/login.

    The platform aims to have three components:

    * The Knowledge Graph, which aims to integrate materials such as rubrics, standards and even “misconceptions,” typical mistakes that learners make;

    * Evaluators, or ways to assess if AI material is aligned to learning science;

    * Agent Skills, or ways to help AI tools build learning science and strong pedagogy into whatever they’re building (say, lesson plans).

    Here’s a piece in EdSurge that describes the work. In it, Helen Crompton, executive director of the Research Institute of Digital Innovation in Learning at Old Dominion University, makes an important point: “Once a platform becomes part of the underlying infrastructure upon which many other products are built, it can begin to shape what information is available, what is considered authoritative, what gets measured and ultimately what kinds of educational experiences are created.”

    Here’s what Sandra and Priscilla are reading:

    * “Build: Investing in America’s Infrastructure“, by Sadek Wahba, managing partner at private equity firm, I Squared Capital.

    * School Rethink 2.0, edited by Frederick M. Hess, Michael B. Horn, and Juliet Squire

    * The Correspondent by Virginia Evans, which, as Priscilla says, brings home the idea that parenting takes an entire community.

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    39 分
  • AI Insights: Wizards, Doritos & Trout -- Oh My!
    2026/07/28

    What do wizards have to do with Doritos or trout? In this wrap up episode to Season 2, Jeremy & Betsy talk about the metaphors and insights their guests shared this year to make sense of AI. Guests included researchers, writers, educators, builders & influencers: Ethan Mollick, Pat Yongpradit, Inge Molenaar, Erin Mote, Justin Reich, Melina Uncapher, Elvira Salazar, Margaret Honey, Mike Taubman and Babak Mostaghimi. And the theme running through it all: Sure, the technology is changing rapidly. But even more important: Our sense of when to use AI– and when not to use it–is morphing, too. Finally, Betsy & Jeremy hint at what they will explore when they kick off Season 3 this autumn. Got thoughts? Suggestions? Questions? Drop a note on LinkedIn.


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    22 分
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