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AI Challenges Core Assumptions in Education
We need to rethink student assessment, AI literacy, and technology’s usefulness, according to experts at the recent AI+Education Summit.
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We need to rethink student assessment, AI literacy, and technology’s usefulness, according to experts at the recent AI+Education Summit.
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Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
As trust in the old order erodes, mid-sized countries are building new agreements involving shared digital infrastructure and localized AI.
A Stanford HAI workshop brought together experts to develop new evaluation methods that assess AI's hidden capabilities, not just its test-taking performance.
World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.
QuantiPhy is a new benchmark and training framework that evaluates whether AI can numerically reason about physical properties in video images. QuantiPhy reveals that today’s models struggle with basic estimates of size, speed, and distance but offers a way forward.
Stanford, ETH Zurich, and EPFL will develop open-source foundation models that prioritize societal values over commercial interests, strengthening academia's role in shaping AI's future.
