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What to Expect in AI in 2024
Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.
13 Biggest AI Stories of 2023
Generative models dominated the year, as calls for policy and transparency heated up.
A Composer’s Helper: Using AI to Create New Harmonies
The Anticipatory Music Transformer assists composers in a way most generative AI cannot.
Unlocking New Frontiers: AI and the Sciences
At Stanford HAI’s recent fall conference, scholars showed how artificial intelligence is opening up new approaches to...
BLASTNet – The First Large Machine Learning Dataset for Fundamental Fluid Dynamics
By collecting data from the field of computational fluid dynamics into a single dataset, AI researchers at Stanford hope...
By the Numbers: Tracking The AI Executive Order
New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into...
AI, Ethics, and Public Service: Bridging the Gap through Stanford HAI’s Fellowship Program
HAI’s first cohort of Tech Ethics & Policy fellows helped develop the White House executive order on AI, reassessed...
Using Machine Learning To Help Refugees Succeed
A new set of machine learning tools is helping countries place refugees where they’re most likely to find employment.
Amy Zegart: Integrating AI in the Realm of National Security
Deployed properly, the new HAI associate director says, AI holds tremendous potential to improve and economize the work...
Ge Wang: Human Well-Being Should Be AI Creators’ Goal
The new HAI associate director, a professor of music and of computer science, wants to challenge where we’re headed with...
Julian Nyarko: The Shortfalls and Promise of AI in Law
As a new HAI associate director, the legal scholar sees great potential for AI — but it won’t happen overnight.
Fei-Fei Li: A Candid Look at a Young Immigrant’s Rise to AI Trailblazer
In her new memoir, Li parallels her story with AI’s rapid development, and shares why AI is a responsibility worth our...