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斯坦福 HAI:AI 如何改变执法与司法

Law Enforcement and Justice

AI 导读

斯坦福 HAI 的 Law Enforcement and Justice 专题汇集多项研究,聚焦 AI 对警务与司法的影响及个人权利保障。斯坦福法学院用 AI 流水线筛查数百万条地方法规,揭示仍生效的歧视性法律;另有研究指出法律任务中语言模型的错误透明度不足,AI 伪造判例引用正推高法官对律师的罚款。

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Law Enforcement and Justice

Understanding how AI is changing policing and security, and the growing need to safeguard individual rights.

AI Legal Review Says Millions Live Under Discriminatory Local Laws

Andrew Myers

Sep 08, 2026

News

Image 1: piles of outdated laws with AI highlighted discriminatory ones

Building an AI pipeline to comb through millions of local statutes, researchers at Stanford Law School turn a spotlight on unsavory laws still on the books in communities across the country.

News

Image 2: piles of outdated laws with AI highlighted discriminatory ones

AI Legal Review Says Millions Live Under Discriminatory Local Laws

Andrew Myers

Government, Public AdministrationLaw Enforcement and JusticeRegulation, Policy, GovernanceSep 08

Building an AI pipeline to comb through millions of local statutes, researchers at Stanford Law School turn a spotlight on unsavory laws still on the books in communities across the country.

A New Direction for Machine Learning in Criminal Law

Kristen Bell,Jenny Hong,Nick McKeown,Catalin Voss

Quick Read Dec 01, 2021

Policy Brief

Image 3

This brief proposes a machine learning approach to studying decision-making in the criminal legal system as a way to identify and reduce systemic inequalities.

Policy Brief

Image 4

A New Direction for Machine Learning in Criminal Law

Kristen Bell,Jenny Hong,Nick McKeown,Catalin Voss

Law Enforcement and JusticeMachine LearningQuick Read Dec 01

This brief proposes a machine learning approach to studying decision-making in the criminal legal system as a way to identify and reduce systemic inequalities.

Daniel E. Ho

Person

Image 5: Dan Ho headshot

Person

Image 6: Dan Ho headshot

Daniel E. Ho

DemocracyGovernment, Public AdministrationLaw Enforcement and JusticeRegulation, Policy, GovernanceOct 05

Legal AI’s Legibility Problem

Andrew Myers

Jul 20, 2026

News

Image 7: legal ai benchmark courthouse with binary column

Increasing reliance on language models for legal tasks have led to calls for more information about the likelihood and severity of potential errors. Realizing useful and robust transparency requires an institutional perspective, say the editors of a new special section in PNAS.

News

Image 8: legal ai benchmark courthouse with binary column

Legal AI’s Legibility Problem

Andrew Myers

Law Enforcement and JusticeJul 20

Increasing reliance on language models for legal tasks have led to calls for more information about the likelihood and severity of potential errors. Realizing useful and robust transparency requires an institutional perspective, say the editors of a new special section in PNAS.

AI-Faked Cases Become Core Issue Irritating Overworked Judges

Bloomberg Law

Dec 29, 2025

Media Mention

As AI-hallucinated case citations flood the courts, judges have increased fines for attorneys who have cited fake cases. HAI Policy Fellow Riana Pfefferkorn hopes this will "make the firm sit up and pay better attention."

Media Mention

Video 1

AI-Faked Cases Become Core Issue Irritating Overworked Judges

Bloomberg Law

Generative AILaw Enforcement and JusticeDec 29

As AI-hallucinated case citations flood the courts, judges have increased fines for attorneys who have cited fake cases. HAI Policy Fellow Riana Pfefferkorn hopes this will "make the firm sit up and pay better attention."

Why You Can (And Should) Opt Out Of TSA Facial Recognition Right Now

HuffPost

Nov 06, 2025

Media Mention

Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.

Media Mention

Video 2

Why You Can (And Should) Opt Out Of TSA Facial Recognition Right Now

HuffPost

Law Enforcement and JusticePrivacy, Safety, SecurityNov 06

Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.

All Work Published on Law Enforcement and Justice

Our Racist, Terrifying Deepfake Future Is Here

Nature

Nov 03, 2025

Media Mention

“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.

Our Racist, Terrifying Deepfake Future Is Here

Nature

Nov 03, 2025

“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.

Generative AIRegulation, Policy, GovernanceLaw Enforcement and Justice

Media Mention

23andMe Clients Navigate Uncertain Future Two Years After Breach

Bloomberg Law

Oct 17, 2025

Media Mention

"The biggest difference between 23andMe and other breaches is that sequenced DNA is 'irreplaceable and immutable,' said Jennifer King," a Stanford HAI Policy Fellow.

23andMe Clients Navigate Uncertain Future Two Years After Breach

Bloomberg Law

Oct 17, 2025

"The biggest difference between 23andMe and other breaches is that sequenced DNA is 'irreplaceable and immutable,' said Jennifer King," a Stanford HAI Policy Fellow.

Law Enforcement and JusticeRegulation, Policy, Governance

Media Mention

Harnessing AI to Improve Access to Justice in Civil Courts

Shana Lynch

Mar 04, 2025

News

Image 9

Stanford law professor advocates for public-sector AI tools to support self-represented litigants in civil cases.

Harnessing AI to Improve Access to Justice in Civil Courts

Shana Lynch

Mar 04, 2025

Stanford law professor advocates for public-sector AI tools to support self-represented litigants in civil cases.

Law Enforcement and Justice

Image 10

News

Strengthening AI Accountability Through Better Third Party Evaluations

Ruth E. Appel

Nov 06, 2024

News

Image 11

At a recent Stanford-MIT-Princeton workshop, experts highlight the need for legal protections, standardized evaluation practices, and better terminology to support third-party AI evaluations.

Strengthening AI Accountability Through Better Third Party Evaluations

Ruth E. Appel

Nov 06, 2024

At a recent Stanford-MIT-Princeton workshop, experts highlight the need for legal protections, standardized evaluation practices, and better terminology to support third-party AI evaluations.

Foundation ModelsLaw Enforcement and JusticePrivacy, Safety, SecurityRegulation, Policy, Governance

Image 12

News

Stanford AI Model Helps Locate Racist Deeds In Santa Clara County

KQED

Oct 21, 2024

Media Mention

Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.

Stanford AI Model Helps Locate Racist Deeds In Santa Clara County

KQED

Oct 21, 2024

Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.

Government, Public AdministrationRegulation, Policy, GovernanceLaw Enforcement and JusticeMachine LearningFoundation Models

Media Mention

AI Seeks Out Racist Language in Property Deeds for Termination

Bloomberg Law

Oct 17, 2024

Media Mention

Dan Ho, HAI Senior Fellow and director of the Stanford RegLab, discusses RegLab's AI model that analyzes decades of property records, helping to identify illegal racially restrictive language in housing documents.

AI Seeks Out Racist Language in Property Deeds for Termination

Bloomberg Law

Oct 17, 2024

Dan Ho, HAI Senior Fellow and director of the Stanford RegLab, discusses RegLab's AI model that analyzes decades of property records, helping to identify illegal racially restrictive language in housing documents.

Machine LearningRegulation, Policy, GovernanceFoundation ModelsLaw Enforcement and Justice

Media Mention

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