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Daniel E. Ho | Stanford HAI
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Generative AI: Perspectives from Stanford HAI
Russ Altman, Erik Brynjolfsson, Michele Elam, Surya Ganguli, Daniel E. Ho, James Landay, Curtis Langlotz, Fei-Fei Li, Percy Liang, Christopher Manning, Peter Norvig, Rob Reich, Vanessa Parli
Deep DiveMar 01, 2023
Research

A diversity of perspectives from Stanford leaders in medicine, science, engineering, humanities, and the social sciences on how generative AI might affect their fields and our world

Generative AI: Perspectives from Stanford HAI

Russ Altman, Erik Brynjolfsson, Michele Elam, Surya Ganguli, Daniel E. Ho, James Landay, Curtis Langlotz, Fei-Fei Li, Percy Liang, Christopher Manning, Peter Norvig, Rob Reich, Vanessa Parli
Deep DiveMar 01, 2023

A diversity of perspectives from Stanford leaders in medicine, science, engineering, humanities, and the social sciences on how generative AI might affect their fields and our world

Generative AI
Research
Implementation Challenges to Three Pillars of America’s AI Strategy
Christie M. Lawrence, Isaac Cui, Daniel E. Ho
Deep DiveDec 20, 2022
whitepaper

This white paper assesses the implementation status of three U.S. executive and legal actions related to AI innovation and trustworthy AI, calling for improvements in reporting and tracking key requirements.

Implementation Challenges to Three Pillars of America’s AI Strategy

Christie M. Lawrence, Isaac Cui, Daniel E. Ho
Deep DiveDec 20, 2022

This white paper assesses the implementation status of three U.S. executive and legal actions related to AI innovation and trustworthy AI, calling for improvements in reporting and tracking key requirements.

Government, Public Administration
Regulation, Policy, Governance
whitepaper
Jacob Goldin and Daniel E. Ho: Modernizing Tax Administration: AI, Efficiency, and Equity
seminarNov 02, 202210:00 AM - 11:00 AM
November
02
2022

This HAI seminar with Stanford professors Jacob Goldin and Daniel E. Ho discusses a collaboration on using AI to reshape a core function of government: collecting revenue.

November
02
2022

Jacob Goldin and Daniel E. Ho: Modernizing Tax Administration: AI, Efficiency, and Equity

Nov 02, 202210:00 AM - 11:00 AM

This HAI seminar with Stanford professors Jacob Goldin and Daniel E. Ho discusses a collaboration on using AI to reshape a core function of government: collecting revenue.

Ethics, Equity, Inclusion
How to Build Academic-Public Health Partnerships: The Stanford - Santa Clara County Experience with COVID-19 Response
Sara Cody, Daniel E. Ho
Oct 14, 2022
Research
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How to Build Academic-Public Health Partnerships: The Stanford - Santa Clara County Experience with COVID-19 Response

How to Build Academic-Public Health Partnerships: The Stanford - Santa Clara County Experience with COVID-19 Response

Sara Cody, Daniel E. Ho
Oct 14, 2022

How to Build Academic-Public Health Partnerships: The Stanford - Santa Clara County Experience with COVID-19 Response

Your browser does not support the video tag.
Research
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning
Neel Guha, Daniel E. Ho, Julian Nyarko
Sep 14, 2022
Research
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LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning

Neel Guha, Daniel E. Ho, Julian Nyarko
Sep 14, 2022

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning

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Research
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
Enhancing International Cooperation in AI Research: The Case for a Multilateral AI Research Institute
Daniel Zhang, Christie M. Lawrence, Michael Sellitto, Russell Wald, Marietje Schaake, Daniel E. Ho, Russ Altman, Andrew Grotto
Deep DiveMay 01, 2022
whitepaper

This white paper proposes a Multilateral AI Research Institute (MAIRI) that would provide a venue for force-multiplying AI research and development collaboration among like-minded countries.

Enhancing International Cooperation in AI Research: The Case for a Multilateral AI Research Institute

Daniel Zhang, Christie M. Lawrence, Michael Sellitto, Russell Wald, Marietje Schaake, Daniel E. Ho, Russ Altman, Andrew Grotto
Deep DiveMay 01, 2022

This white paper proposes a Multilateral AI Research Institute (MAIRI) that would provide a venue for force-multiplying AI research and development collaboration among like-minded countries.

International Affairs, International Security, International Development
whitepaper
Stanford’s Daniel Ho Appointed as Advisor to Biden Administration’s National Artificial Intelligence Advisory Committee
Daniel E. Ho
Stanford Law School staff
Apr 14, 2022
announcement

In this role, Ho will advise on national AI policy, from competitiveness to workforce implications and societal impacts.

Stanford’s Daniel Ho Appointed as Advisor to Biden Administration’s National Artificial Intelligence Advisory Committee

Daniel E. Ho
Stanford Law School staff
Apr 14, 2022

In this role, Ho will advise on national AI policy, from competitiveness to workforce implications and societal impacts.

announcement
Designing Accountable Health Care Algorithms: Lessons from Covid-19 Contact Tracing
Lisa Lu, Alexis D’Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho
Mar 16, 2022
Research
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Designing Accountable Health Care Algorithms: Lessons from Covid-19 Contact Tracing

Designing Accountable Health Care Algorithms: Lessons from Covid-19 Contact Tracing

Lisa Lu, Alexis D’Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho
Mar 16, 2022

Designing Accountable Health Care Algorithms: Lessons from Covid-19 Contact Tracing

Your browser does not support the video tag.
Research
Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan
Daniel E. Ho, Jennifer King, Russell Wald, Daniel Zhang
Mar 09, 2022
response to request

Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.

Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan

Daniel E. Ho, Jennifer King, Russell Wald, Daniel Zhang
Mar 09, 2022

Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.

Regulation, Policy, Governance
response to request
Science Translation During the COVID-19 Pandemic: An Academic-Public Health Partnership to Assess Capacity Limits in California
Peter Maldonado, Angie Peng, Derek Ouyang, Jenny Suckale, Daniel E. Ho
Feb 02, 2022
Research
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Science Translation During the COVID-19 Pandemic: An Academic-Public Health Partnership to Assess Capacity Limits in California

Science Translation During the COVID-19 Pandemic: An Academic-Public Health Partnership to Assess Capacity Limits in California

Peter Maldonado, Angie Peng, Derek Ouyang, Jenny Suckale, Daniel E. Ho
Feb 02, 2022

Science Translation During the COVID-19 Pandemic: An Academic-Public Health Partnership to Assess Capacity Limits in California

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Research
Do we really want Facebook and Amazon to rule AI?
Daniel E. Ho
Jennifer King and Russell C. Wald
Nov 08, 2021
media mention

The co-authors from Stanford HAI and the Stanford Law School provide their perspective drawn from their white paper Building a National AI Research Resource: A Blueprint for the National Research Cloud.

Do we really want Facebook and Amazon to rule AI?

Jennifer King and Russell C. Wald
Nov 08, 2021

The co-authors from Stanford HAI and the Stanford Law School provide their perspective drawn from their white paper Building a National AI Research Resource: A Blueprint for the National Research Cloud.

media mention
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