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James Zou | Stanford HAI

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peopleFaculty

James Zou

Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

Dr. James Zou developed the popular “The Value of Data and AI” course at Stanford University  with Dr. Stephen Eglash and Dr. Matei Zaharia, and is Faculty Director for the Stanford Institute for Human-Centered AI (HAI) Executive Education course of the same title.

Dr. Zou is Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. He is a Stanford HAI Faculty Affiliate, a Chan-Zuckerberg investigator, and the faculty director of Stanford AI for Health. As a technologist, Dr. Zou develops novel machine learning algorithms that have strong statistical guarantees and that are motivated by human health challenges. Several of his methods are widely used in industry-- including in tech, biotech, insurance, and more. He also works on questions important for the broader impacts of AI—fairness, accountability, interpretations, robustness, and the economic impacts of data and AI to firms and industry. He has received several best paper awards at top CS venues, the 2019 RECOMB best paper award, a NSF CAREER Award, a Google Faculty Award, and a Tencent AI award. 
 

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Latest Related to James Zou

news
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TextGrad: AutoGrad for Text

Federico Bianchi, James Zou
Machine LearningJun 19

Scholars develop a new framework that optimizes compound AI systems by backpropagating large language model feedback.

news

Generating Medical Errors: GenAI and Erroneous Medical References

Kevin Wu, Eric Wu, Daniel E. Ho, James Zou
HealthcareFeb 12

A new study finds that large language models used widely for medical assessments cannot back up claims.

policy brief

Demographic Stereotypes in Text-to-Image Generation

Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
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This brief tests a variety of ordinary text prompts to examine how major text-to-image AI models encode a wide range of dangerous biases about demographic groups.

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Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security
Jennifer King, Caroline Meinhardt, Abel Ribbink, Pete Warden, Daniel Zhang, James Zou
Nov 21, 2022
response to request

Stanford scholars respond to a federal RFC on commercial surveillance and data security, focusing on the intersection of automated decision-making and information privacy.

Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security

Jennifer King, Caroline Meinhardt, Abel Ribbink, Pete Warden, Daniel Zhang, James Zou
Nov 21, 2022

Stanford scholars respond to a federal RFC on commercial surveillance and data security, focusing on the intersection of automated decision-making and information privacy.

Privacy, Safety, Security
Regulation, Policy, Governance
response to request
Toward Stronger FDA Approval Standards for AI Medical Devices
Eric Wu, Kevin Wu, Roxana Daneshjou, David Ouyang, Daniel E. Ho, James Zou
Quick ReadJun 01, 2022
policy brief

This brief examines the FDA’s medical AI device approval process and urges policymakers to close the gaps created by the growth of AI-enabled healthcare.

Toward Stronger FDA Approval Standards for AI Medical Devices

Eric Wu, Kevin Wu, Roxana Daneshjou, David Ouyang, Daniel E. Ho, James Zou
Quick ReadJun 01, 2022

This brief examines the FDA’s medical AI device approval process and urges policymakers to close the gaps created by the growth of AI-enabled healthcare.

Healthcare
Regulation, Policy, Governance
policy brief
Diversifying History: A Large-Scale Analysis of Changes in Researcher Demographics and Scholarly Agendas
Stephan Risi, Mathias W. Nielsen, Emma Kerr, Emer Brady, Lanu Kim, Daniel A. McFarland, Dan Jurafsky, James Zou, Londa Schiebinger
Jan 01, 2022
Research
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Diversifying History: A Large-Scale Analysis of Changes in Researcher Demographics and Scholarly Agendas

Diversifying History: A Large-Scale Analysis of Changes in Researcher Demographics and Scholarly Agendas

Stephan Risi, Mathias W. Nielsen, Emma Kerr, Emer Brady, Lanu Kim, Daniel A. McFarland, Dan Jurafsky, James Zou, Londa Schiebinger
Jan 01, 2022

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Research
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Re
Jan 01, 2022
Research
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Domino: Discovering Systematic Errors with Cross-Modal Embeddings

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Re
Jan 01, 2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

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Research
Approximate data deletion from machine learning models
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou
Dec 25, 2021
Research
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Approximate data deletion from machine learning models

Approximate data deletion from machine learning models

Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou
Dec 25, 2021

Approximate data deletion from machine learning models

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Research
Large Language Models Associate Muslims with Violence
Abubakar Abid, Maheen Farooqi, James Zou
Dec 14, 2021
Research
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Large Language Models Associate Muslims with Violence

Large Language Models Associate Muslims with Violence

Abubakar Abid, Maheen Farooqi, James Zou
Dec 14, 2021

Large Language Models Associate Muslims with Violence

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Research
Quantification of Gender Bias and Sentiment Toward Political Leaders Over 20 Years of Kenyan News Using Natural Language Processing
Emma Pair, Nikitha Vicas, Ann Weber, Valerie Meausoone, James Zou, Amos Njuguna, Gary L. Darmstadt
Dec 05, 2021
Research
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Quantification of Gender Bias and Sentiment Toward Political Leaders Over 20 Years of Kenyan News Using Natural Language Processing

Quantification of Gender Bias and Sentiment Toward Political Leaders Over 20 Years of Kenyan News Using Natural Language Processing

Emma Pair, Nikitha Vicas, Ann Weber, Valerie Meausoone, James Zou, Amos Njuguna, Gary L. Darmstadt
Dec 05, 2021

Quantification of Gender Bias and Sentiment Toward Political Leaders Over 20 Years of Kenyan News Using Natural Language Processing

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Research
Making AI Forget You: Data Deletion In Machine Learning
Antonio Ginart, Melody Guan, Gregory Valiant, James Zou
Oct 22, 2019
Research
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Making AI Forget You: Data Deletion In Machine Learning

Making AI Forget You: Data Deletion In Machine Learning

Antonio Ginart, Melody Guan, Gregory Valiant, James Zou
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Making AI Forget You: Data Deletion In Machine Learning

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Research