Bringing together the world's best minds, whether human or machine, to study how digital technologies can transform the economy @StanfordHAI Director: @ErikBryn
Stanford, California
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"It will be really important to have some foresight here."
@yelizarovanna (@windfalltrust)'s Digitalist Papers essay looks at how we share prosperity in society if work no longer sits at the center of people’s lives.
Anna discusses AI preparedness here: piped.video/3MK84fgPuT4
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This July, we gathered economists and tech industry leaders to talk about what "success" means when it comes to transformative AI, and how we can guide policy to get us there.
@erikbryn, @alexolegimas, Fabien Curto Millet and @zhitzig here, with more in the full YT video
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See Gabriel's full conversation here: piped.video/ecgQssrtrI0
And for a wide range of perspectives on TAI, visit DigitalistPapers.com
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Can we fulfill transformative AI's revolutionary potential? Part of it depends on articulating a compelling shared vision for the future, which @_gabrielunger explores in his essay for the Digitalist Papers.
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What is generative AI worth?
The Indicators have a new dashboard! The GDP-B: Surplus Observer rethinks traditional measures as we track consumer surplus from generative AI tools over time.
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ICYMI, yesterday's webinar on the AI Economic Indicators is now live!
Watch @erikbryn, @NelaRichardson (@ADP), @connacher_, @BharatKChandar, and @RuyuChen present the latest Canaries Dashboard results and answer questions here: piped.video/WJvNU10hefo
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The Canaries Dashboard's first major update came this morning, including results separated by gender. Project Lead @connacher_ gave his thoughts below.
View the new results at canaries.stanford.edu
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Since its release, thousands have signed their name to agree with the 200+ economists and AI researchers that the time to address AI's transformation of the economy is now.
WeMustActNow.ai
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The power of a statement isn't just in what it says, but who's saying it.
Watch @erikbryn on why it matters that 200+ economists — including 16 Nobel laureates — signed "We Must Act Now."
WeMustActNow.ai
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"This is about moving the conversation about AI's impact from what we think, to what we know and what we can measure with the data."
@NelaRichardson of @AdpResearch discussed our collaboration on the Canaries Dashboard on @technology
piped.video/QDfIsDTX0UA?si=YUCA…
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The Adoption Monitor looks at how fast individuals and firms are adopting AI, as we attempt to follow the growing or shrinking importance of the technology in everyday and economic life.
aiadoptionmonitor.stanford.e…
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The Takeoff Tracker looks for signs of explosive growth and AI-based economic takeoff, evaluating indicators by strength of evidence.
takeofftracker.stanford.edu
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The Canaries Dashboard, a collaboration between @AdpResearch and the Lab, continues the work of our Canaries in the Coal Mine study as it tracks employment trends at varying levels of AI exposure.
canaries.stanford.edu
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What happens to wealth and value (human or otherwise) in a world with more and more advanced AI?
Postdoctoral Fellow Phil Trammell joined @alexolegimas (@GoogleDeepMind) to unpack the question on the @dwarkeshpodcast.
Watch: piped.video/watch?v=Jj-kBHzU…
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Will AI lead to fewer or more jobs? What's the danger of AI that mimics human intelligence? And can AI create opportunities for students and workers?
On @nxthompson's "Most Interesting Thing in AI," @erikbryn challenges both AI optimists and pessimists.
piped.video/watch?v=HpgjB4ZA…
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"The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation?"
@random_walker's DEL seminar, "Adapting to the Transformation of Knowledge Work," is now available!
Watch on YouTube: piped.video/uiTwQG1ZyTw
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This week, @tommmitchell welcomes Bruce Buchanan, a PhD Philosopher turned machine learning researcher, to talk about his unique contributions to machine learning history.
Watch the newest episode of Machine Learning: How Did We Get Here? here: piped.video/nZNCjf-WOfk
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Those who missed Kristina McElheran of @UofT's seminar yesterday are in luck: "The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)" is now available to view online!
Watch on YouTube: piped.video/pKYydu-7SwM
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Subscribe for more of Tom's conversations with the pioneers of machine learning! And if you enjoy the show, we really appreciate you rating on your favorite podcast platform!
🟢Spotify: open.spotify.com/episode/42S…
📺Watch on YouTube: piped.video/YP2YbF93-1Y
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"Do you think the problem of speech recognition is solved?"
This week @kaifulee of @01AI_Yi sits down with @tommmitchell to talk about decades of discovery and breakthrough in the field of machine learning and speech recognition.
📺Watch on YouTube: piped.video/jyvsnXosKAo
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What is the relationship between neural network approaches in machine learning, and real neural networks in the brain?
In his latest podcast, @tommmitchell talks with Jay McClelland (@Stanford) about modeling cognition in the brain.
📺Watch on YouTube: piped.video/GArl9AZdCJk
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How do we approach the "uncontrollable teenager" that is AI?
Watch @FutureJurvetson discuss his essay, "The Universal Innervation of the Economy," for The Digitalist Papers: piped.video/1y_pJKll01E
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How do AI agents influence knowledge work?
@SuproteemSarkar's (@UChicago) talk at the DEL Seminar Series is now available on YouTube! Moderated by @erikbryn, Sarkar discusses three projects on the Economics of Applied AI.
Watch here: piped.video/4_T4aTLWtwY
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When @DaphneKoller wanted to see her machine learning research make a real-world impact, she left academia to build @insitro.
Her conversation with @tommmitchell on probabilistic models, AI in biotech, and more is our latest podcast episode!
📹YouTube: piped.video/DReHVP8rpSw
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Tranformative AI could drive innovation, but it may also amplify mis- and disinformation, and leave corrective efforts underprovided. How do we respond?
Watch Joseph Stiglitz and Màxim Ventura-Bolet discuss their Digitalist Papers essay here: piped.video/UpMjXOKd5Ik
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Dean Pomerleau was working on self-driving cars decades before Teslas and Waymos hit the streets.
@tommmitchell dives into the surprising early history of autonomous driving in the latest episode of Machine Learning: How Did We Get Here?
Watch here: piped.video/watch?v=q-lRgHGi…
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How should we govern Transformative AI?
Watch Nick Bostrom, "the Swedish superbrain," argue for an "open global investment" (OGI) model here: piped.video/T5eBZPAzP44
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For those that missed Zoë Hitzig's visit to our Seminar Series, it's now available on YouTube!
Watch "How People Use ChatGPT," moderated by Director @erikbryn, here: piped.video/czrKIiuHZ-U
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New podcast episode for you!
The field of Statistics enters the Machine Learning conversation, as @tommmitchell talks with Michael I. Jordan of @inria_paris!
Watch here: piped.video/BfBxS2rEH3k
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"I'm asking what is there to fear in a world with transformative AI, and I conclude: nothing, if we've gotten the policy right."
Watch @BetseyStevenson (@umichECON) discuss how AI isn't a technology problem, but an institutional and societal one: piped.video/watch?v=7_rryMif…
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What would a "theory" of machine learning tell us?
Turing winner and Harvard Professor Leslie Valiant invented the widely accepted definition of supervised machine learning. Perspective, advice for new researchers and more on today’s episode!
📼YouTube: piped.video/xjwgk7jY6T8
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In his essay for The Digitalist Papers, @Yoshua_Bengio examines the risks of transformative AI, arguing that "development of safe, beneficial, advanced AI could be viewed as a global public good."
Watch him discuss the essay here: piped.video/watch?v=EoWIe5h1…
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Today we’re pleased to host “Catalyzing Early-Career Potential in the AI Era” in collaboration with Jobs for the Future, the Stanford Center on Longevity, and the Stanford Accelerator for Learning!
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Tom Mitchell literally wrote the book on machine learning, and his conversations with the field's pioneers give unprecedented access to the people and stories behind it.
🍎Listen on Apple: podcasts.apple.com/us/podcas…
👀Watch on YouTube: piped.video/watch?v=W8nS-Dto…
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How can experimentation shape AI policymaking for the better?
@professor_ajay (@rotmanschool) discusses his essay (co-authored with @joshgans) from The Digitalist Papers here: piped.video/watch?v=Zesl51M6…
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And if you’d like more personal conversations with some of artificial intelligence history’s greatest minds, be sure to rate and subscribe!
YouTube: piped.video/watch?v=n8jRjMkd…
Apple: podcasts.apple.com/us/podcas…
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If you enjoy the show, please rate and subscribe wherever you like to listen--your support goes a long way!
🎥Watch on YouTube: piped.video/watch?v=GyPJSm_o…
▶️Listen on Apple: podcasts.apple.com/us/podcas…
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Tom's ongoing peek at the personalities and personal stories behind machine learning's history is available wherever you find your podcasts.
🎥Watch on YouTube: piped.video/urHW2RwPaQQ?si=DmI2…
▶️Listen on Apple: podcasts.apple.com/us/podcas…
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We loved the reaction to our Digitalist Papers Volume 2 launch in December, but it doesn't end there!
Keep an eye on our YouTube channel for author discussions that expand on the pressing questions about AI and policymaking they're asking: piped.video/YzKtlgJ96Wk
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The Digitalist Papers are now available to read for free online, and for purchase in hardcover and paperback!
We couldn't be more impressed with the work of the authors as they tackle the challenge of ensuring that Transformative AI benefits everyone.
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AI agents are increasingly acting on our behalf. What does it mean for the economy, and how do we make it "better?"
Lab Faculty Lead Professor Sandy Pentland has a lot to say about it.
Watch his talk at the ADIA Lab Symposium here: piped.video/watch?v=Amxav9rM…
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"It's not a choice between having innovation or protecting workers. The best thing is to have innovation that helps workers."
Director @erikbryn appeared on @NewsHour to discuss AI and mass layoffs. Watch here: piped.video/ghbTq5BEE6M?si=Iyyo…
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ICYMI, last week @erikbryn and @NelaRichardson discussed the Stanford Digital Economy Lab and ADP's work on the National Employment Report, providing in-depth insight into the US private-sector labor market.
View the webinar here: piped.video/R8IO349PdHk?si=IBLO…
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How fast should innovation happen? "The sequence of new innovations has to come sparsely enough for it to be worth doing any innovation at all."
Postdoc Phil Trammell spoke with @EpochAIResearch about economics and AGI.
Watch the conversation here: piped.video/watch?v=bkI_rRd4…
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Our "Canaries in the Coal Mine?" seminar is now available!
Watch @econ_b and @RuyuChen break down their landmark research on AI's impact on employment: piped.video/tqYo-dfL1go
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ICYMI, @SeyedMH98 and @LichtingerGuy stopped by the Lab yesterday to discuss how generative AI disproportionately impacts junior workers. Watch their seminar, moderated by @erikbryn, at the link: piped.video/watch?v=Igo3VOBl…
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Shameless plug: check out Lab Faculy Lead Professor Sandy Pentland on @BloombergTV!
8/11
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Watch: an unmanned fighter jet powered by AI.
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In "Democratizing Statistics," David Levine (@BerkeleyHaas), @d_vidnguyen, and @JoseRamonEG discuss the benefits and risks of making LLMs accessible to everyone.
Watch our conversation with the authors: piped.video/HN4BQe-tc-c?si=88Pb…
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