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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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We need to rethink student assessment, AI literacy, and technology’s usefulness, according to experts at the recent AI+Education Summit.

Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.

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.

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.

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.

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.

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.
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.

Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.

Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.

Renowned leaders in AI, medicine, and ethics join interdisciplinary committee guiding the world’s leading resource on AI trends.

Renowned leaders in AI, medicine, and ethics join interdisciplinary committee guiding the world’s leading resource on AI trends.

Scholars develop a framework in collaboration with luxury goods multinational LVMH that lays out how large companies can flexibly deploy principles on the responsible use of AI across business units worldwide.

Scholars develop a framework in collaboration with luxury goods multinational LVMH that lays out how large companies can flexibly deploy principles on the responsible use of AI across business units worldwide.

These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.

These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.

Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.

Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

Using AI to analyze Google Street View images of damaged buildings across 16 states, Stanford researchers found that destroyed buildings in poor areas often remained empty lots for years, while those in wealthy areas were rebuilt bigger and better than before.

Using AI to analyze Google Street View images of damaged buildings across 16 states, Stanford researchers found that destroyed buildings in poor areas often remained empty lots for years, while those in wealthy areas were rebuilt bigger and better than before.
A new study shows the AI industry is withholding key information.
A new study shows the AI industry is withholding key information.

Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.

Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.

In evaluating thousands of benchmarks that AI developers use to assess the quality of their new models, a team of Stanford researchers says 5% could have serious flaws that can lead to major ramifications.

In evaluating thousands of benchmarks that AI developers use to assess the quality of their new models, a team of Stanford researchers says 5% could have serious flaws that can lead to major ramifications.

Gathering and analyzing data require time and expertise — two resources that cash-strapped newspapers often don’t have. Can AI help?

Gathering and analyzing data require time and expertise — two resources that cash-strapped newspapers often don’t have. Can AI help?