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Machine Intelligence and Data Science Lab
By leveraging advanced machine learning and data mining algorithms, we focus on the analysis, experimental evaluation, design and implementation of theory, logic and systems, with an emphasis on developing explainable, interpretable and theoretically sound tools to create new and innovative technology.
About Us
About Us
We are the Machine Intelligence and Data Science (MINDS) Lab headquarted at Morgan State University, led by Dr. Jamell Dacon. Our mission is to advance trustworthy, impactful, and human-centered AI through interdisciplinary research at the intersection of Machine Learning, Data Science, and Society.
Our research focuses on trustworthy AI for socially consequential domains, with emphasis on education, health, language justice, and robust machine learning, spanning several core areas:
Trustworthy NLP and Language Justice: Developing robust, fair, and interpretable language technologies that address bias, dialect variation, and harmful online content.
Educational AI and Learning Analytics: Designing AI systems for student support, pedagogical co-regulation, educational retrieval, and robust assessment under distribution shift.
Health AI and Clinical Decision Support: Building personalized, data-driven systems for chronic disease management, predictive analytics, and scalable health informatics.
AI Robustness, Interpretability, and Distribution Shift: Developing methods that improve generalization, reliability, and methodological rigor in high-stakes domains.
Across these areas, we are committed to advancing trustworthy AI by emphasizing fairness, accountability, transparency, interpretability, robustness, and real-world impact. Through innovative research and collaborative partnerships, we leverage AI and data science to address pressing societal challenges and create technologies that benefit diverse communities.
Future of AI Ethics
Future of AI Ethics
As AI continues to evolve, so must our approach to its ethical implications. We are committed to shaping a future where AI is developed and deployed responsibly—ensuring fairness, transparency, and accountability in every decision. Our research explores the evolving landscape of AI ethics to create systems that benefit all of society.
Our team consists of individuals dedicated to facilitate computational techniques that are both innovative and responsible, while prioritizing issues of Fairness, Accountability, Transparency, and Ethics (FATE) as they relate to AI, ML, and NLP to adequately address complex societal implications of AI.
NOTE: Additionally, our lab serves as a vital launchpad for many students, please know that our members rotate, and continue on to apply the skills they built here to shape the future of science and industry. We thank our many past student researchers for their lasting impact on our projects.
Disclaimer
Disclaimer
Any opinions, findings, conclusions, or recommendations expressed on this website are those of the author(s) and do not necessarily reflect the views of any organization.
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