Policy

AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County

October 2024

Potential for allocative harm in an environmental justice data tool

Nature Machine Intelligence
December 2023

Governing by Assignment

Penn Law Review
February 2024
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Not (Officially) in My Backyard: Characterizing Informal Accessory Dwelling Units and Informing Housing Policy With Remote Sensing

Journal of the American Planning Association
June 2024
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On the Societal Impact of Open Foundation Models

February 2024

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features

Conference on Secure and Trustworthy Machine Learning
October 2023

How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved

ACM FAccT
June 2023

The AI Regulatory Alignment Problem

HAI Policy Brief
November 2023

Talent exchanges for state governments

SIEPR Policy Brief
September 2023

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government

FAccT
June 2023

The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies

AIES
August 2023

Integrating social services with disease investigation: A randomized trial of COVID-19 high-touch contact tracing

PLOS ONE
May 2023

Measuring and Mitigating Racial Disparities in Tax Audits

Working Paper
January 2023

Implementation Challenges to Three Pillars of America’s AI Strategy

HAI - RegLab White Paper
December 2022

Entropy Regularization for Population Estimation

ACM AAAI (2023)
August 2022

Automated vs. manual case investigation and contact tracing for pandemic surveillance: Evidence from a stepped wedge cluster randomized trial

Lancet: eClinicalMedicine
January 2023

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

Chapter for Brookings' Build Me the Evidence, (Tamar Bauer ed)
July 2022

Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models

ACM FAccT 1479
June 2022

Executive Control of Agency Adjudication: Capacity, Selection and Precedential Rulemaking

Journal of Law, Economics, and Organization (2024, Forthcoming)
April 2021

Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection

ACM AAAI (2023)
April 2022

Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance

ACM AI, Ethics & Society
August 2022

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

NEJM Catalyst
March 2022

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

AJPH
February 2022

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

118 PNAS e2109443118
September 2021

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

HAI White Paper
October 2021
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Improving the Reliability of Food Safety Disclosure: Restaurant Grading in Seattle and King County, Washington

Journal of Environmental Health, 84, 2, 30-37
September 2019

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

JAMA Health Forum , 2, 8, e212260
August 2021
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On the Opportunities and Risks of Foundation Models

arXiv
August 2021

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

Nature Medicine
April 2021
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The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy

ACM FAccT 2021
March 2021

How US Law Will Evaluate Artificial Intelligence for Covid-19

BMJ
March 2021

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

ACM FAccT 2021
March 2021

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

Stanford's Institute for Human-centered Artificial Intelligence White Paper
November 2020

Affirmative Algorithms: The Legal Grounds for Fairness as Awareness

U. Chicago Law Review Online
October 2020

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

HAI Policy Briefs
September 2020

Designing Information Disclosure

Administrative and Regulatory Law News
December 2012

Improve Restaurant Report Cards

New York Times
March 2012

Artificially Intelligent Government: A Review and Agenda

Big Data Law (Roland Vogl, ed., 2021)
March 2020

Algorithmic Accountability in the Administrative State

Yale Journal on Regulation
August 2020

Fudging the Nudge: Information Disclosure and Restaurant Grading

The Yale Law Journal
December 2012

What To Do About Artificially Intelligent Government

The Hill
February 2020

Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies

Report to the Administrative Conference of the United States
February 2020

Did Restaurant Hygiene Grading in Los Angeles Immediately Reduce Foodborne Illness by 20% Across All of Southern California? A Response to Jin & Leslie

SIEPR Working Paper
November 2019
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Making Street-Level Bureaucracy Work: Safer Food in Seattle and King County

Evidence Works: Cases Where Evidence Meaningfully Informed Policy
January 2019
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Feasible Policy Evaluation by Design: A Randomized Synthetic Stepped-Wedge Trial in King County

June 2020

When Algorithms Import Private Bias into Public Enforcement: The Promise and Limitations of Statistical Debiasing Solutions

Journal of Institutional and Theoretical Economics
January 2019

New Evidence on Information Disclosure through Restaurant Hygiene Grading

American Economic Journal: Economic Policy
November 2019

Equity in the Bureaucracy

UC Irvine Law Review
June 2019

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