Center for AI & Data Ethics (CAIDE)
At the Center for AI & Data Ethics (CAIDE), we aim to understand and address matters concerning the ethical utilization of data, machine learning, and generative AI.
At the Center for AI & Data Ethics (CAIDE), we are dedicated to tackling the ethical dimensions of AI head-on. 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. We aim to increase public awareness of the risks associated with AI and data through the dissemination of practical and accessible stories, articles, talks, interviews, and educational materials such as case studies and online courses.
Research & Resources
We are dedicated to tackling the ethical dimensions of AI head-on, addressing issues such as bias and discrimination in generative models, AI's impact on employment, and the proliferation of misinformation.
Partners & Projects
We work with mission-driven organizations to apply AI and data science in ways that promote equity, transparency, and social good.
Who We Are
Our mission revolves around fostering a cohesive community of students, educators, and researchers who share a passion for leveraging technology to drive positive change.
Robert Clements
Faculty Director of the Center for AI & Data Ethics
At CAIDE, we are committed to the ethical practice of Data Science and AI, as well as applying these technologies for social good. Through curriculum development, research projects, and graduate student practicums, we aim to foster ethical leadership and a deep sense of responsibility in all our students and affiliates.”
Robert Clements
Faculty Director of the Center for AI & Data Ethics
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Center for AI & Data Ethics
101 Howard Street, Suite 500
San Francisco, CA 94105