Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Daniel E. Ho | Stanford HAI
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Research Programs
    • Grants
    • Marlowe (opens in new tab)
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Back to Daniel E. Ho

All Related

A Language-matching Model to Improve Equity and Efficiency of COVID-19 Contact Tracing
Lisa Lu, Benjamin Anderson, Raymond Ha, Alexis D’Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho
Oct 26, 2021
Research
Your browser does not support the video tag.

A Language-matching Model to Improve Equity and Efficiency of COVID-19 Contact Tracing

A Language-matching Model to Improve Equity and Efficiency of COVID-19 Contact Tracing

Lisa Lu, Benjamin Anderson, Raymond Ha, Alexis D’Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho
Oct 26, 2021

A Language-matching Model to Improve Equity and Efficiency of COVID-19 Contact Tracing

Your browser does not support the video tag.
Research
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits
Ben Chugg, Daniel E. Ho
Oct 25, 2021
Research
Your browser does not support the video tag.

Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits

Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits

Ben Chugg, Daniel E. Ho
Oct 25, 2021

Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits

Your browser does not support the video tag.
Research
HAI Weekly Seminar with Daniel E. Ho, Jennifer King, Russell Wald, and Chris Wan
seminarOct 06, 202110:00 AM - 11:00 AM
October
06
2021

A Blueprint for a National Research Cloud

October
06
2021

HAI Weekly Seminar with Daniel E. Ho, Jennifer King, Russell Wald, and Chris Wan

Oct 06, 202110:00 AM - 11:00 AM

A Blueprint for a National Research Cloud

Regulation, Policy, Governance
Building a National AI Research Resource: A Blueprint for the National Research Cloud
Daniel E. Ho, Jennifer King, Russell Wald, Christopher Wan
Deep DiveOct 01, 2021
whitepaper

This white paper proposes a blueprint for a National Research Cloud that would enable much greater access to—and in that sense, democratize—forms of AI and AI research that have increased in computational demands.

Building a National AI Research Resource: A Blueprint for the National Research Cloud

Daniel E. Ho, Jennifer King, Russell Wald, Christopher Wan
Deep DiveOct 01, 2021

This white paper proposes a blueprint for a National Research Cloud that would enable much greater access to—and in that sense, democratize—forms of AI and AI research that have increased in computational demands.

Government, Public Administration
Regulation, Policy, Governance
Privacy, Safety, Security
whitepaper
Hoffman-Yee Symposium
conferenceSep 21, 2021
September
21
2021
September
21
2021

Hoffman-Yee Symposium

Sep 21, 2021
Sciences (Social, Health, Biological, Physical)
Evaluation of Allocation Schemes of COVID-19 Testing Resources in a Community-based Door-to-door Testing Program
Ben Chugg, Lisa Lu, Derek Ouyang, Benjamin Anderson, Raymond Ha, Alexis D’Agostino, Anandi Sujeer, Sarah L. Rudman, Analilia Garcia, Daniel E. Ho
Aug 27, 2021
Research
Your browser does not support the video tag.

Evaluation of Allocation Schemes of COVID-19 Testing Resources in a Community-based Door-to-door Testing Program

Evaluation of Allocation Schemes of COVID-19 Testing Resources in a Community-based Door-to-door Testing Program

Ben Chugg, Lisa Lu, Derek Ouyang, Benjamin Anderson, Raymond Ha, Alexis D’Agostino, Anandi Sujeer, Sarah L. Rudman, Analilia Garcia, Daniel E. Ho
Aug 27, 2021

Evaluation of Allocation Schemes of COVID-19 Testing Resources in a Community-based Door-to-door Testing Program

Your browser does not support the video tag.
Research
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
Mar 21, 2021
Research
Your browser does not support the video tag.

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
Mar 21, 2021

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Your browser does not support the video tag.
Research
Domain Shift and Emerging Questions in Facial Recognition Technology
Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Quick ReadNov 01, 2020
policy brief

This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.

Domain Shift and Emerging Questions in Facial Recognition Technology

Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Quick ReadNov 01, 2020

This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.

Privacy, Safety, Security
Regulation, Policy, Governance
policy brief
Evaluating Facial Recognition Technology: A Protocol for Performance Assessment in New Domains
Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Deep DiveNov 01, 2020
whitepaper

This white paper provides research- and scientifically-grounded recommendations for how to give context to calls for testing the operational accuracy of facial recognition technology.

Evaluating Facial Recognition Technology: A Protocol for Performance Assessment in New Domains

Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Deep DiveNov 01, 2020

This white paper provides research- and scientifically-grounded recommendations for how to give context to calls for testing the operational accuracy of facial recognition technology.

Computer Vision
Regulation, Policy, Governance
whitepaper
AI's Promise and Peril for the U.S. Government
David Engstrom, Daniel E. Ho, Catherine M. Sharkey, Mariano-Florentino Cuéllar
Quick ReadSep 01, 2020
policy brief

This brief examines AI uses among federal administrative agencies, highlighting governance concerns related to accountability, technological quality, and societal conflict.

AI's Promise and Peril for the U.S. Government

David Engstrom, Daniel E. Ho, Catherine M. Sharkey, Mariano-Florentino Cuéllar
Quick ReadSep 01, 2020

This brief examines AI uses among federal administrative agencies, highlighting governance concerns related to accountability, technological quality, and societal conflict.

Government, Public Administration
policy brief
1
2
3
4