Who We Are
Founded with a generous gift from Craig Newmark, founder of Craigslist and Craig Newmark Philanthropies, the Center for AI & Data Ethics (CAIDE) has evolved alongside the technology it studies, sharpening our focus on the ethical questions raised by artificial intelligence as it reshapes how we live and work.
We're building a community of students, educators, and researchers united by a shared belief: technology should be a force for good. Through rigorous research, hands-on education, and real-world partnerships, CAIDE is helping shape a future where AI is developed and deployed responsibly.
Core Pillars
Research & Resources
Our research and educational programming examines the common pillars of Responsible AI, including bias, discrimination, and inequity; human-AI interaction; explainable AI; data privacy; AI regulation; and AI applications for social good. Visit our Research & Resources Page
Partners & Projects
We work with mission-driven organizations to apply AI and data science in ways that promote equity, transparency, and social good. Visit our Partners & Projects Page
Our Team
Center Director
Robert Clements
Center Director
Assistant Professor, MS in Data Science and Artificial Intelligence
Affiliated Faculty
Our affiliated faculty bring diverse expertise in data science, neuroscience, artificial intelligence, theology, and law to CAIDE’s research and teaching. Together, they help the Center examine the ethical, social, and human implications of emerging technologies.
Shubham Atreja
Shubham Atreja is an Assistant Professor in the MS in Data Science and Artificial Intelligence program. He brings over eight years of experience in data-driven research focused on online news and social media data.
Dr. William J. Bosl
William J. Bosl is a Professor Emeritus in the School of Nursing and Health Professions. His work spans clinical neuroinformatics, AI-driven biomarker discovery, and the ethical design and governance of autonomous AI systems.
Erin Brigham
Erin Brigham directs the Joan and Ralph Lane Center for Catholic Social Thought and the Ignatian Tradition and teaches in the department of Theology and Religious Studies.
Elisabeth Merkel
Elisabeth Merkel is the Senior Administrative Director of the Data Institute, overseeing strategic initiatives and operations for the centers and professional programs housed within the Data Institute.
Michele Neitz
Michele Neitz is the Stellar Development Foundation Professor of Law, Technology, and Social Transformation at the University of San Francisco School of Law, and the Founding Director of the Center for Law, Tech, and Social Good.
Victor Palacios
Victor is the Director of Data Science and Artificial Intelligence Partnerships and an instructor of data science, machine learning, Python in the MS in Data Science and Artificial Intelligence program.
Affiliated Scholars, Researchers & Practitioners
Hadley Dixon
AI Risk Assessment Analyst, Youth AI Safety Institute, Common Sense Media
Danielle Jaworski
Researcher
Manikesh Makam
Data Analyst, Intuit
Yaxuan (Sissi) Shen
Data Scientist, Amgen
Nicole Smith-Vaniz
Researcher
Make A Gift
Your support plays a pivotal role in shaping the trajectory of ethical discussions and practices within the field, empowering us to lead the way in responsible AI and data ethics.
Center for AI & Data Ethics
101 Howard Street, Suite 500
San Francisco, CA 94105