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.
The platform formerly known as Twitter turns out to be a surprising source of high-quality medical knowledge, says biomedical data science expert James Zou.
An increasing number of people are turning to AI for help in sensitive areas like financial planning and medical advice, but researchers say large language models aren’t trustworthy enough for such critical jobs.
To effectively regulate artificial intelligence, lawmakers must first understand it. A Stanford HAI workshop helped staffers think critically about this emerging technology.
