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Center for Equitable Artificial Intelligence and Machine Learning Systems

National Symposium on Equitable AI "Elevate Equity: Reimagining AI's Potential"


                                                                   REGISTER HERE 

The Center for Equitable AI & Machine Learning Systems (CEAMLS) at Morgan State University is pleased to announce its 1st annual National Symposium on Equitable AI, to be hosted in Baltimore, Maryland on April 5, 2024. This event is an opportunity for critical and constructive reflection on AI’s past, present, and future, with special attention to issues of equity and racial bias.

Topics to be discussed include:

  • equitability of AI applications in education, healthcare, and criminal justice
  • legacies of bias and diversity gaps in datasets
  • enhancing diversity in AI research and developmen
  • the role of equity in AI ethics, policy, and governance
  • managing environmental impacts of AI


Solon Barocas (Microsoft / Cornell University)

Alycia Carey (University of Arkansas, Fayetteville)

Thomas Conley (Idaho National Laboratory)

Hal Daumé (University of Maryland)

Rachele Hendricks-Sturrup (Duke University)

Fahmi Khalifa (Morgan State University)

Malur Narayan (CTO, Latimer)

John Pasmore (Founder and CEO, Latimer)

Sonia Gipson Rankin (University of New Mexico)

Michael Running Wolf (Founder, Indigenous AI)

Reva Schwartz (National Institute of Standards & Technology)

Nishant Shah (Maryland Governer’s Office)

Alexander Williams Tolbert (Emory University)

Angelina Wang (Princeton University)

Gloria Washington (Howard University)

Gabriella Waters (Morgan State University)


The Symposium will be held at the Doubletree by Hilton Baltimore North Hotel 

Visit the symposium website here