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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.

HAI's white paper shows "Most major LLMs underperform for non-English—and especially low-resource—languages; are not attuned to relevant cultural contexts; and are not accessible in parts of the Global South."
HAI's white paper shows "Most major LLMs underperform for non-English—and especially low-resource—languages; are not attuned to relevant cultural contexts; and are not accessible in parts of the Global South."

Scholars respond to a federal RFI on AI in global development, calling for an approach that is grounded in local perspectives and tailored to Global Majority country circumstances.
Scholars respond to a federal RFI on AI in global development, calling for an approach that is grounded in local perspectives and tailored to Global Majority country circumstances.

The 2025 AI Index reports that the U.S. is still the global leader in state-of-the-art artificial intelligence, but China has closed the gap considerably.
The 2025 AI Index reports that the U.S. is still the global leader in state-of-the-art artificial intelligence, but China has closed the gap considerably.

In this testimony presented to the Senate Committee on Homeland Security and Governmental Affairs, Fei-Fei Li urges the need to demystify AI, safeguard its use with privacy and fairness measures, and lead through transparent procurement and strong public AI research investment.
In this testimony presented to the Senate Committee on Homeland Security and Governmental Affairs, Fei-Fei Li urges the need to demystify AI, safeguard its use with privacy and fairness measures, and lead through transparent procurement and strong public AI research investment.
