Navigating the changing nature of work, including its effects on productivity, employment, and inequality, is one of the greatest challenges we face between now and 2050.

The HAI Spring Conference will explore three key advances in artificial intelligence – accountable AI, foundation models, and embodied AI in virtual and real worlds – as well as what the future of this technology might hold.

Job postings provide unique insights into the demand for skills, tasks, and occupations. In a recent project, Digital Fellow Daniel Rock (Wharton School of the University of Pennsylvania) and fellow Lab researchers Erik Brynjolfsson, Sarah Bana, and Sebastian Steffen used the text from millions of online job postings to train a natural language processing (NLP) model.

Robert Seamans of New York University’s Stern School of Business joined Stanford Digital Economy Lab Director Erik Brynjolfsson for “Robots at Work in China,” our first Seminar Series event of 2022.

Are Phenotyping Algorithms Fair for Underrepresented Minorities within Older Adults?