Adam Becker & Jon Evans | Book Talk: “More Everything Forever” and “Exadelic”
Join HAI Policy Fellow Riana Pfefferkorn for a conversation about the potential future(s) of AI and humanity with Adam Becker, author of More Everything Forever, and Jon Evans, author of Exadelic and the Gradient Ascendant newsletter.
Who are the individuals and communities predicting AI doom, AI boom, or AI as normal technology? What motivates them, and what should we make of their predictions? Amidst competing narratives of AI utopia and dystopia, what lessons can we learn from speculative fiction? How can the rest of us take action to ensure a human-centered future that serves all of us and our planet?
Related Events
Kristina McElheran | The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)
We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
.png&w=1920&q=100)
We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
Arvind Narayanan | Adapting to the Transformation of Knowledge Work
The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
.png&w=1920&q=100)
The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
Inside the 2026 AI Index Report | Stanford HAI
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.