The AI Sovereignty Paradox: Should Countries Buy, Build, or Lease to Maintain Strategic Control of Their AI?
As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants.
As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants.
With increased use of chatbots in mental health contexts, AI developers now rely on human experts to evaluate AI’s responses for “safety” – but experts rarely agree on what’s safe.
With increased use of chatbots in mental health contexts, AI developers now rely on human experts to evaluate AI’s responses for “safety” – but experts rarely agree on what’s safe.
Biomni can analyze mountains of medical data, spot patterns humans might miss, and even design experiments—helping researchers make discoveries faster in the race to cure disease.
Biomni can analyze mountains of medical data, spot patterns humans might miss, and even design experiments—helping researchers make discoveries faster in the race to cure disease.
New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.
New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.
Stanford students across disciplines are teaming up to tackle society’s pressing questions in the age of AI.
Stanford students across disciplines are teaming up to tackle society’s pressing questions in the age of AI.
PsychAdapter lets researchers dial in on personality traits, age, and mental health characteristics to generate text that sounds like real individuals, opening the door to training simulations and personalized content.
PsychAdapter lets researchers dial in on personality traits, age, and mental health characteristics to generate text that sounds like real individuals, opening the door to training simulations and personalized content.
Reading Today’s Headlines Through AI: A Real-Time Audit of Six Commercial Chatbots
In a new study, scholars measured how accurately popular AI chatbots answered questions about the emerging news and found substantial regional disparity, dependence on distinct information ecosystems, and acute fragility under imperfect prompts.
In a new study, scholars measured how accurately popular AI chatbots answered questions about the emerging news and found substantial regional disparity, dependence on distinct information ecosystems, and acute fragility under imperfect prompts.
What Does AI Mean for Reproducible Science?
Researchers gathered for the annual CORES Symposium to discuss how AI is shaping the open science movement.
Researchers gathered for the annual CORES Symposium to discuss how AI is shaping the open science movement.
Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.
Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.
From designing new antibodies to simulating 1,000 years of climate in a day, AI is transforming what's possible—but humans remain the ones deciding what matters.
From designing new antibodies to simulating 1,000 years of climate in a day, AI is transforming what's possible—but humans remain the ones deciding what matters.
AI Hiring Tools Can Yield Racial Bias and Systemic Rejection
The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.
The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.
Leveraging statistical concepts from measurement science and education, AI researchers have greatly reduced the computational demand of predicting how the largest of large language models will scale up in the future. It could save millions of dollars in training costs.
Leveraging statistical concepts from measurement science and education, AI researchers have greatly reduced the computational demand of predicting how the largest of large language models will scale up in the future. It could save millions of dollars in training costs.
From Benchmarks to Real-World Impact: Causal Science Conference Explores Modern Challenges in AI Evaluation
On April 24, 2026, the Stanford Causal Science Conference: Frontiers in AI Evaluation brought together leading researchers from academia and industry to examine how causal reasoning, evaluation, and measurement are reshaping the future of AI systems.
On April 24, 2026, the Stanford Causal Science Conference: Frontiers in AI Evaluation brought together leading researchers from academia and industry to examine how causal reasoning, evaluation, and measurement are reshaping the future of AI systems.
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.
The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.
More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.
More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.