Skip to main content

Stanford Institute for Human-Centered Artificial Intelligence

Stanford HAI —

Hospital AI tools aren’t well documented

A new study reveals medical AI tools aren’t being documented with rigor or transparency, leaving users blind to potential errors such as flawed training data and calibration drift.

Read More
Stanford HAI —

Re-imagining espionage in the era of artificial intelligence

Armchair researchers and ordinary citizens are changing the rules of spycraft. Expert Amy Zegart explains how U.S. agencies must adapt.

Read More
Stanford Institute for Human-Centered Artificial Intelligence —

Using artificial neural networks to study the human brain

Experts from psychology, neuroscience and AI are using state-of-the-art computational tools to disentangle the relationship between perception and memory within the human brain.

Read More
Stanford HAI —

De-identifying medical patient data doesn’t protect privacy

A Stanford researcher makes the case that de-identifying health records used for research doesn’t offer anonymity and hinders the learning health system.

Read More
Stanford HAI —

Why AI struggles to recognize toxic speech on social media

A team of human-computer interaction and AI researchers at Stanford sheds new light on why automated speech police can score highly accurately on technical tests yet provoke a lot of dissatisfaction from humans with their decisions.

Read More
Stanford HAI —

Future of work: Beyond bossware and job-killing robots

To encourage a human-centered workplace, we must rethink AI-driven automation, bossware, labor taxes and corporate R&D.

Read More
Stanford HAI —

Designing anti-racist technologies

Experts critiqued smart cities, agtech, blockchain and policing during Stanford's first Technology and Racial Equity Conference.

Read More
Stanford HAI —

Stanford launches Ethics and Society Review Board for AI research

The new program requires researchers seeking funding from HAI to consider the negative ethical and societal risks their work poses, come up with methods to lessen those risks, and collaborate with an interdisciplinary faculty panel to ensure that the concerns are addressed.

Read More
HAI —

Is Natural Language Processing ready to take on legal hearings?

Every year, California holds thousands of parole hearings for eligible prisoners. In each of those hearings, a 150-page transcript is produced for the government and public to review. Most likely, that transcript will never be read. AI can help read tens of thousands of case records within minutes, but there are some key challenges.

Read More
Stanford Institute for Human-Centered Artificial Intelligence —

Are medical AI devices evaluated appropriately?

A new study finds limitations in the FDA’s approval process.

Read More