Research & Resources
Shaping an ethical future for AI and data-driven technologies. At CAIDE, we explore the evolving intersection of artificial intelligence, data science, and ethics.
As AI continues to reshape how we live, work, and communicate, our mission is to ensure that these technologies are developed and used in ways that are fair, inclusive, and responsible.
What do we research?
At the Center for AI & Data Ethics, our work focuses on four key areas. Each area reflects our commitment to addressing the ethical implications of artificial intelligence and data science in real-world contexts.
Pedagogical Approaches to Data and AI Ethics
We are investigating effective pedagogical approaches for teaching AI ethics, with a focus on helping students critically engage with the societal and technical dimensions of intelligent systems. As part of this work, we have developed a collection of case studies that illustrate a wide range of ethical challenges in machine learning and AI, providing concrete contexts for discussion, reflection, and practice.
Bias and Fairness in AI Systems
Related Case Studies & Publications:
AI’s Impact on Jobs and the Workforce
Related Case Study:
Misinformation and AI-Generated Content
Related Case Study:
Privacy, Consent, and Data Governance
Related Case Studies & Publications:
Ethics, Agency, and Governance in Autonomous AI Systems
We explore how autonomous AI systems make decisions, assign responsibility, and align with ethical values in high-stakes environments. Our work emphasizes the need for transparent governance frameworks and value-driven design to ensure accountability and trust.
Related Case Study:
Operationalizing ML and AI Ethics
We study how to translate high-level ethical principles into actionable design and development practices for ML and AI systems. Our work focuses on embedding fairness, privacy, accountability, and transparency across the entire lifecycle of these technologies—from initial design decisions and model training to deployment and evaluation in real-world contexts. We aim to ensure that intelligent systems are not only effective but also socially responsible.
Always Looking Ahead
Our work is grounded in a clear mission, but we stay adaptable. As technology and society continue to evolve, so does our approach. We welcome new ideas, collaborations, and research areas that help advance ethical thinking in AI and data science.
If you believe in the importance of building a more ethical future for AI, consider supporting our work. Your gift helps us expand our research, develop educational resources, and foster dialogue at the intersection of technology and society.
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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