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CEAMLS News



July 31, 2025

Morgan State University Showcases Innovative Autonomous Wheelchair Technology at BWI Thurgood Marshall Airport

University’s Pilot Program for Mobile App-Based Adaptive Wheelchair Aims to Enhance Mobility Solutions in Public Transportation Spaces

July 31, 2025

Morgan State Showcases AI-powered Wheelchair at BWI Airport

Morgan State University is working to introduce self-driving wheelchairs in airports nationwide, showcasing the potential of artificial intelligence technology to boost accessibility.

July 31, 2025

Self-Driving Wheelchairs Could Someday Transport Passengers with Disabilities to BWI’s Gates

Researchers and students at Morgan State University have been developing the autonomous wheelchair over the past five years, an innovation they hope will soon make it easier for people with disabilities and limited mobility to navigate large, complex environments like airports and hospitals.

February 22, 2024

CEAMLS - Featured in Morgan Pulse!

Morgan State University  stands at the forefront of addressing the complexities and challenges posed by artificial intelligence (AI) and cybersecurity. With the establishment of two pioneering centers, the Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS) and the Cybersecurity Assurance and Policy (CAP) Center, MSU is dedicated to promoting accessibility, equity, transparency, safety, and ethics in these rapidly evolving fields.

February 01, 2024

CEAMLS' Own Gabriella Waters Talks Pros and Cons of AI Use

Gabriella Waters from Morgan State University's Center for Equitable AI and Machine Learning Systems (CEAMLS) discusses how artificial intelligence impacts our society.

January 31, 2024

Morgan State’s CEAMLS Partners with Latimer.ai for Inclusive AI Experience

CEAMLS collaborates with Latimer.ai to unveil a pioneering Large Language Model (LLM) integrating the narratives of Black and Brown communities. The partnership emphasizes quality assurance and control, with students granted early access to assess real-world viability.