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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.


This white paper maps the LLM development landscape for low-resource languages, highlighting challenges, trade-offs, and strategies to increase investment; prioritize cross-disciplinary, community-driven development; and ensure fair data ownership.
This white paper maps the LLM development landscape for low-resource languages, highlighting challenges, trade-offs, and strategies to increase investment; prioritize cross-disciplinary, community-driven development; and ensure fair data ownership.

Fei-Fei Li, co-director of Stanford HAI, emphasized the risks of cutting research funding and international student visas to the US as it faces an increasingly competitive global tech race.
Fei-Fei Li, co-director of Stanford HAI, emphasized the risks of cutting research funding and international student visas to the US as it faces an increasingly competitive global tech race.

In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security and Artificial Intelligence," Fei-Fei Li stresses the importance of public sector leadership, global collaboration, and evidence-based policymaking to unlock AI’s potential and ensure its responsible development.
In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security and Artificial Intelligence," Fei-Fei Li stresses the importance of public sector leadership, global collaboration, and evidence-based policymaking to unlock AI’s potential and ensure its responsible development.

In this podcast, HAI Executive Director Russell Wald explores how universities, policymakers, and industry must collaborate to keep AI human-centered. Wald shares takeaways from the AI Index, explains how China is narrowing the performance gap, and outlines why academic institutions are vital to ethical AI leadership.
In this podcast, HAI Executive Director Russell Wald explores how universities, policymakers, and industry must collaborate to keep AI human-centered. Wald shares takeaways from the AI Index, explains how China is narrowing the performance gap, and outlines why academic institutions are vital to ethical AI leadership.

This brief presents the results of a wargame simulation that aims to evaluate the escalation risks of large language models (LLMs) in high-stakes military and diplomatic decision-making.
This brief presents the results of a wargame simulation that aims to evaluate the escalation risks of large language models (LLMs) in high-stakes military and diplomatic decision-making.
