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.
Bias and Fairness in AI Systems
We examine how AI systems can reflect and perpetuate societal bias. Our work focuses on identifying unfair outcomes and promoting more equitable approaches in design, deployment, and evaluation.
Related Case Studies & Publications:
- Facial Recognition for Policing: Real-life Negative Consequences of Biased Algorithms
- Racial Bias in Healthcare Data Solutions: Perpetuating Disparities in Medical Treatment Nationwide
- A Reflection on Bias, Fairness, and Environmental Impact by Maricela Abarca
AI’s Impact on Jobs and the Workforce
We explore how AI is transforming employment across industries and job sectors. Through real-life stories and comprehensive research, we highlight the challenges, changes, and new opportunities introduced by AI in the workplace.
Related Case Study:
- AI Art: Assistants, Replacements and Grifters
Misinformation and AI-Generated Content
We investigate how generative AI contributes to the spread of false or misleading content. Our work includes research on detection tools, trust in digital content, and the evolving nature of AI-influenced media.
Related Case Study:
- Failures of LLM-Generated Text Detection: False Positives Dilute the Efficacy of AI Detection
Privacy, Consent, and Data Governance
We focus on the ethical use of biometric data and personal information in AI systems. Our work addresses issues of consent, data handling, and accountability, especially in sensitive and high-risk environments.
Related Case Studies & Publications:
- Voice Assistants and Biometric Data: Amazon's Violations of Children's Privacy Rights
- When No One is Driving: Navigating Accountability via Cruise's Driverless Vehicles
- Mindful Machine Learning: Ethical Considerations for Data-Driven Epilepsy Research by Amadeo Cabanela
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