Strategies to help students feel more engaged and valued are a better way to curb cheating than taking a hard line on AI, says Stanford education scholar Denise Pope.
Stanford education researchers are at the forefront of building natural language processing systems that will support teachers and improve instruction in the classroom.
With synchronous video from a pair of smartphones, engineers at Stanford have created an open-source motion-capture app that democratizes the once-exclusive science of human movement – at 1% of the cost.
An AI-powered database could help Brazilian authorities locate labor camps in the Amazon rainforest where hundreds of thousands of people are held in conditions of modern slavery.
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.
