Artificial Intelligence

As it enters its third year of a proctoring pilot, the university’s Academic Integrity Working Group offers guidance and resources for faculty.

While current language models struggle to accurately diagnose children’s speech disorders, new Stanford research suggests fine-tuning has the potential to change the game.

A new initiative highlights how instructors are leveraging generative AI while imposing constraints on student use to foster critical thinking.

Professor Nigam Shah shares what the health care AI landscape looks like from the patient’s point of view – and where the hidden risks may lie.

AI is perpetuating inaccurate gender and age stereotypes, influencing everything from hiring practices to workplace perceptions.

A new paper explores how managing cognitive load distribution is vital for navigating complex technologies and enabling their effective use.

Should users of ChatGPT, Gemini, and other AI chat systems be worried about their privacy? “Absolutely yes,” says Jennifer King, lead author of a new study about chatbot privacy concerns.

Co-authored by Professor Michelle Mello, a recent JAMA report highlights the potential of AI in health care – but warns that inadequate governance, evaluation, and infrastructure could undermine this promise.

Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more effectively.

Synthetic brain MRI technology is supercharging computational neuroscience with massive data.