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CEAMLS
- About
- Research
- Labs
- Data Engineering and Predictive Analytics (DEPA) Lab
- Machine Intelligence and Data Science Lab (MINDS) Lab
- Human-AI eXperience (HAX) Lab
- Quantitative and Qualitative AI Ethics Lab (QQAEL)
- Open Hardware Acceleration (HAL-O) Lab
- Publication
- Patents & IP
- Quarterly Meetings
- Ongoing Research
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Center for Equitable Artificial Intelligence and Machine Learning Systems
Human-AI eXperience (HAX) Lab
HAX Team at BE Smart Competition
BE Smart Hackathon
Michael Adeleke secured 3rd place at the ACM Undergraduate Student Research Competition
HAX Lab won the Best Technical Solution & Score award for the second consecutive year
The HAX Lab is dedicated to exploring the evolving relationship between humans and Artificial Intelligence. With a primary focus on the impact of AI on humans, the lab seeks to design, build, and evaluate intelligent systems that are both multimodal and interactive. The lab's ultimate goal is to ensure that such systems are not only usable and acceptable but also respectful of human values.
-
CEAMLS
- About
- Research
- Labs
- Data Engineering and Predictive Analytics (DEPA) Lab
- Machine Intelligence and Data Science Lab (MINDS) Lab
- Human-AI eXperience (HAX) Lab
- Quantitative and Qualitative AI Ethics Lab (QQAEL)
- Open Hardware Acceleration (HAL-O) Lab
- Publication
- Patents & IP
- Quarterly Meetings
- Ongoing Research
- Outreach
- Scholarly Events
- News
- Events