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All News at HAI

NewsMedia Mentions
Can Artificial Intelligence Replace Human Therapists?
Lisa Ward
Mar 27, 2021
Media Mention

HAI Faculty Affiliate Adam Miner talks about the opportunities and concerns with AI for mental health

Media Mention
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Can Artificial Intelligence Replace Human Therapists?

Lisa Ward
Mar 27

HAI Faculty Affiliate Adam Miner talks about the opportunities and concerns with AI for mental health

Artist’s Intent: AI Recognizes Emotions in Visual Art
Andrew Myers
Mar 22, 2021
News

A team of AI researchers has trained its algorithms to see the emotional intent behind great works of art, possibly leading to computers that see much deeper than current technologies.

News

Artist’s Intent: AI Recognizes Emotions in Visual Art

Andrew Myers
Arts, HumanitiesMachine LearningMar 22

A team of AI researchers has trained its algorithms to see the emotional intent behind great works of art, possibly leading to computers that see much deeper than current technologies.

Tracking the Shift Toward Digital Health
Burcin Ikiz, Ph.D.
Mar 22, 2021
News

A Stanford report highlights the rise in machine learning research in this rapidly evolving field.  

News

Tracking the Shift Toward Digital Health

Burcin Ikiz, Ph.D.
HealthcareMachine LearningMar 22

A Stanford report highlights the rise in machine learning research in this rapidly evolving field.  

Artificial intelligence kept expanding through a turbulent year, with some exceptions
Joe McKendrick
Mar 20, 2021
Media Mention

The AI Index shows how the technology and associated opportunities fared through the turmoil of the past year

Media Mention
Your browser does not support the video tag.

Artificial intelligence kept expanding through a turbulent year, with some exceptions

Joe McKendrick
Mar 20

The AI Index shows how the technology and associated opportunities fared through the turmoil of the past year

HAI at Age 2: From Dinner Conversation to Global Institute
HAI Staff
Mar 17, 2021
News

Stanford GSB Dean Jon Levin reflects on the creation of HAI as a multidisciplinary approach to a multilayered challenge.

News

HAI at Age 2: From Dinner Conversation to Global Institute

HAI Staff
Education, SkillsMar 17

Stanford GSB Dean Jon Levin reflects on the creation of HAI as a multidisciplinary approach to a multilayered challenge.

How AI is Changing Our Understanding of Language
Stanford Engineering Staff
Mar 16, 2021
News

Linguist and computer scientist Dan Jurafsky explores how AI is expanding from capturing individual words and sentences to modeling the social nature of language. 

News

How AI is Changing Our Understanding of Language

Stanford Engineering Staff
Natural Language ProcessingMar 16

Linguist and computer scientist Dan Jurafsky explores how AI is expanding from capturing individual words and sentences to modeling the social nature of language. 

Should AI Models Be Explainable? That depends.
Katharine Miller
Mar 16, 2021
News

A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.

News

Should AI Models Be Explainable? That depends.

Katharine Miller
Machine LearningMar 16

A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.

How Can We Better Regulate AI Companies?
HAI Staff
Mar 15, 2021
News

Legal scholar Sonia Katyal discusses why trade secrets law shouldn't protect AI, government’s role in regulation, and potential edits to Section 230.

News

How Can We Better Regulate AI Companies?

HAI Staff
Mar 15

Legal scholar Sonia Katyal discusses why trade secrets law shouldn't protect AI, government’s role in regulation, and potential edits to Section 230.

Announcing HAI Industry Briefs
John Etchemendy and Fei-Fei Li
Mar 12, 2021
Announcement
Your browser does not support the video tag.

This new series will connect companies to cutting-edge Stanford AI research.

Announcement
Your browser does not support the video tag.

Announcing HAI Industry Briefs

John Etchemendy and Fei-Fei Li
Mar 12

This new series will connect companies to cutting-edge Stanford AI research.

Assessing Regulatory Fairness Through Machine Learning
Rob Jordan
Mar 10, 2021
News

Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution. 

News

Assessing Regulatory Fairness Through Machine Learning

Rob Jordan
Machine LearningMar 10

Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution. 

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