Stanford Institute for Human-Centered Artificial Intelligence
Stanford HAI —
Training AI experts for public service
You can’t regulate artificial intelligence without technical talent, says Stanford HAI’s Daniel Zhang. Tech, Ethics & Policy Fellows are helping shape the conversation.
Stanford education researchers are at the forefront of building natural language processing systems that will support teachers and improve instruction in the classroom.
“Generative agents” that draw on large language models to make breakfast, head to work, grab lunch, and ask other agents out on dates could change both gaming and social science.
This year’s cohort includes scholars from sociology, law, art, computer science, mechanical engineering, anthropology, psychology, ethics, ecology, and more.
Medical algorithms trained on adult data may be unreliable for evaluating young patients. But children’s records present complex quandaries for AI, especially around equity and consent.
A model trained on thousands of images in medical textbooks and journal articles found that dark skin tones are underrepresented in materials that teach doctors to recognize disease.
