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Artificial intelligence

Stanford HAI —

Generative AI and the social divide

The growing threat of disinformation leads people not only to believe in falsehoods, says Nate Persily, but also to disbelieve in facts.

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‘Big steps ahead’ for Stanford HAI

In just five years, the institute has made major strides engaging policy, industry, and civil society to ensure that AI is developed with humans at the center.

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Stanford HAI —

Getting granular about gentrification

An AI model that uses Google Street View to spot early signs of gentrification could one day help cities target anti-displacement policies more precisely.

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Stanford School of Humanities and Sciences —

Chatbots are getting nicer

The latest version of ChatGPT passes the Turing test with flying colors and has a more agreeable disposition than most humans. How might our own behavior evolve as a result?

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Stanford News —

What kids’ drawings reveal about how they see the world

Using machine learning, Stanford researchers have found that children’s drawings contain valuable information about how they think.

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Stanford HAI —

The opportunity gap in social sector AI

Nonprofits are eager to leverage AI tools for mission-related impact. A working paper explores the untapped potential.

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Mehran Sahami on AI and safeguarding society

The computer scientist talks about the issues he’s paying attention to in 2024, particularly how to respond to the risks and opportunities of AI.

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Stanford Graduate School of Business —

Personalizing policies to reach the right people

Machine learning algorithms have proven especially good at burrowing into data collected in the field and unearthing new details on not only how interventions work, but for whom.

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Stanford Graduate School of Business —

AI can help personalize public policies

Combining the power of experiments with the potential of machine learning has tremendous implications for designing more effective public policy.

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Stanford HAI —

AI helps patients in crisis access timely care

A new model to identify and triage high-risk messages to an online mental health platform dramatically reduced response time for those in urgent need.

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