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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
Learn more about our Faculty programs

Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
Learn more about our Conferences & events

Conferences & events

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Careers
Blog

Darlene

Darlene

Research Areas

Responsible AI

Authored Publications

Google

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Stephen Pfohl

Heather Cole-Lewis

Rory Sayres

Darlene Neal

Mercy Asiedu

Awa Dieng

Nenad Tomašev

Qazi Mamunur Rashid

Shekoofeh Azizi

Negar Rostamzadeh

Liam McCoy

Leo Anthony Celi

Yun Liu

Mike Schaekermann

Alanna Walton

Alicia Parrish

Chirag Nagpal

Preeti Singh

Akeiylah DeWitt

Philip Mansfield

Sushant Prakash

Katherine Heller

Alan Karthikesalingam

Christopher Semturs

Joelle Barral

Greg Corrado

Yossi Matias

Jamila Smith-Loud

Ivor Horn

Karan Singhal

Nature Medicine (2024)

Towards Physician-Level Medical Question Answering with Large Language Models

Karan Singhal

Tao Tu

Juro Gottweis

Rory Sayres

Ellery Wulczyn

Le Hou

Kevin Clark

Stephen Pfohl

Heather Cole-Lewis

Darlene Neal

Mike Schaekermann

Amy Wang

Mohamed Amin

Sami Lachgar

Philip Mansfield

Sushant Prakash

Bradley Green

Ewa Dominowska

Blaise Aguera-Arcas

Nenad Tomašev

Yun Liu

Renee Wong

Christopher Semturs

Sara Mahdavi

Joelle Barral

Dale Webster

Greg Corrado

Yossi Matias

Shek Azizi

Alan Karthikesalingam

Vivek Natarajan

Arxiv (2023) (to appear)

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