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AI’s Fairness Problem: When Treating Everyone the Same is the Wrong Approach
Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate,...
HAI at Davos: Key Insights on AI From the World Economic Forum
Stanford HAI faculty joined world leaders and policymakers to discuss AI trends, shifting U.S. policy, the future of...
Stanford’s Multimodal AI Model Advances Personalized Cancer Care
The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.
Ge Wang: GenAI Art Is the Least Imaginative Use of AI Imaginable
The prevailing public mindset that AI is only a labor-saving tool betrays a lack of understanding of why people create...
AI Agents Simulate 1,052 Individuals’ Personalities with Impressive Accuracy
Scholars hope these generative agents based on real-life interviews can solve society’s toughest problems.