Skip to main content Skip to secondary navigation
Page Content

Stanford Affiliates

Launching courses and programs to enable cutting-edge research, create useful and responsible AI applications, and respond thoughtfully to the social implications of AI.

studentsStudents

Providing a wide variety of learning opportunities at Stanford through degree tracks, AI-related courses, fellowships, events, and student engagement.


facultyFaculty

Creating resources for faculty to participate in and facilitate development of HAI Education programs for internal and external audiences. Additionally, HAI offers teaching opportunities and supports Affinity Groups across campus.


staffStaff

Building partnerships with groups across campus interested in collaborating with HAI Education, and engaging Stanford staff in AI-related courses and programs to help them find the information that fits their institutional and professional needs.


Courses for Stanford Students

Featured Spring Course

AI - Activism - Art (ARTHIST 168A, CSRE 106A, ENGLISH 106A, SYMSYS 168A)

AMSTUD 120

The Rise of Digital Culture

Turner

APPPHYS 293 / PSYCH 242

Theoretical Neuroscience

Ganguli; Yamins

CEE 329

Artificial Intelligence Applications in the AEC Industry

Fischer

CS 181

Computers, Ethics, and Public Policy

Winstein

CS 21SI

AI for Social Good

Piech

CS 221

Artificial Intelligence: Principles and Techniques

Various

CS 227B

General Game Playing

Genesereth

CS 231C

Computer Vision and Image Analysis of Art

Stork

CS 247A

Design for Artificial Intelligence

Stanford

CS 372

Artificial Intelligence for Disease Diagnosis and Information Recommendations

 

CS 521

Seminar on AI Safety

Sadigh

CS 472

Data Science and AI for COVID-19

Zou

COMM 230C

Digital Civil Society

Bernholz; Nothias; Pace; Panezi; Willse

GSBGEN 596

Designing AI to Cultivate Human Well-Being

Aaker; Li

LAW 4045

Digital Technology and Law

Engstrom

LAW 4050

AI and Rule of Law: A Global Perspective

Engstrom; Schaake

INTLPOL 221

Politics of Data: Algorithmic Culture, Big Data, and Information Waste

Edwards

ME 344S

HPC-AI Summer Seminar Series

Jones

MGTECON 634

Machine Learning and Causal Inference

Athey; Wager

STATS 315B

Modern Applied Statistics: Data Mining

Friedman

ME 233

Data-driven Modeling of COVID-19

Kuhl

BIOMEDIN 220
(BIODS 220, CS 271)

Artificial Intelligence in Healthcare 

Yeung

LAW 240L

Discussion: Robot Ethics

Lemley

CS 131

Computer Vision: Foundations and Applications

Niebles; Wu

ECON 101

The Economic Impact of Artificial Intelligence (Economic Policy Seminar)

Toloui

POLISCI 52K

Technology and the 2020 Election

Reich; Shaake

AFRICAAM 51B

Race in Technology

Edwards

ARTHIST 168A

A.I.-Activism-Art

Elam

CS 182

Ethics, Public Policy, and Technological Change

Reich; Sahami; Weinstein

DESINST 240

Designing Machine Learning: A Multidisciplinary Approach

Callaghan; Carney

CS 422

Interactive and Embodied Learning

Haber; Li

EDUC 234

Curiosity in Artificial Intelligence

Haber

LAW 807Z

Policy Practicum: Creating a National Research Cloud

Ho; Wald

CodeX WINTER WORKSHOP

Designing Machine Learning: A Multidisciplinary Approach

Callaghan; Carney

CEE 214

Frontier Technology: Understanding and Preparing for Technology in the Next Economy

Fischer; Fu

PHIL 20N

Philosophy of Artificial Intelligence

Etchemendy

ALP 301

Data-Driven Impact

Athey

ECON 254

Economics of Digitization

Brynjolfsson

CS 202

Law for Computer Science Professionals

Hansen

ETHICSOC 187

The Ethics, Law and Politics of Artificial Intelligence (PHIL 78E)

Keeling

CS 520

Knowledge Graphs

Chaudhri

POLISCI 134P

Contemporary Moral Problems (ETHICSOC 185M, PHIL 72)

Karhu

LAW 4052

Governing Artificial Intelligence: Law, Policy, and Institutions

Cuellar, Engstrom, Schaake

MED 18SI

Artificial Intelligence in Medicine and Healthcare Ventures

Adeli

CS 151

Intro to Logic Programming

Genesereth

CS204

Computational Law (Law 4019)

Genesereth

LAW 6005

Technological, Economic and Business Forces Transforming the Private Practice of Law

Yoon

HRMGT 503

People Analytics

Goldberg

If you would like to submit a course to be featured, please email hai-institute@stanford.edu