The Center for Equitable AI & Machine Learning Systems (CEAMLS) at Morgan State University hosts the National Symposium on Equitable AI each year. The event brings together technologists, researchers, policymakers, and stakeholders for critical and constructive reflection on artificial intelligence’s past, present, and future, with special attention to issues of equity and racial bias.
CEAMLS Mission Statement
To facilitate the development, deployment, and verification of socially responsible and equitable artificial intelligence systems and to ensure the public is well-informed of how evolving technologies in this space affect their health, prosperity, and happiness.
For our 2025 theme ‘Impacts, Risks, and Opportunities.’ Topics of individuals talk and presentations include:”
Economy
- Labor market displacement
- Automated decision-making in real-world practice
- Parity and equity throughout the AI-mediated workforce
Environment
- AI’s carbon footprint
- AI applications for managing environmental risks
- Agriculture, land-use, and natural resource management
- AI and the built environment
Education
- AI in K-12 education
- AI in higher education
- Individualized learning
Healthcare
- Precision medicine and personalized medicine
- AI and social determinants of health
- AI for safety and security of health benefit systems
- AI for behavioral health
Criminal Justice
- Criminal risk assessment tools in practice
- Predictive policing: risks and impacts, including for biases and equity
- AI applications for evaluation of equity and bias in policing
Diversity
- Studies of diversity’s impacts on AI research
- Conceptualizing diverse diversities: disciplinary, cultural, etc.
- AI-supported communication and integration in diverse team
CEAMLS Vision Statement
The Center for Equitable AI and Machine Learning Systems (CEAMLS) facilitates the research, development of standards, identification of new methods, and advancement of innovative technologies that benefit everyone on the planet. CEAMLS serves as an interdisciplinary nexus for thought leadership in the application of fair and unbiased technology and its applications. The Center will remain rooted in scholarly stewardship, cultivating the next generation of students at all levels, as well as life-long learners across industries and areas of study.
The Center for Equitable AI and Machine Learning Systems (CEAMLS) facilitates the research, development of standards, identification of new methods, and advancement of innovative technologies that benefit everyone on the planet. CEAMLS serves as an interdisciplinary nexus for thought leadership in the application of fair and unbiased technology and its applications. The Center will remain rooted in scholarly stewardship, cultivating the next generation of students at all levels, as well as life-long learners across industries and areas of study.
8:30 am – 9:15 am
April 5, 2025
Registration, Continental Breakfast
| Graves Hall Atrium |
9:15 am – 9:30 am
Welcome, opening remarks
Kofi Nyarko, Morgan State University
Graves Hall 104 (Auditorium)
| Graves Hall 104 (Auditorium) |
9:30 am – 10:15 am
Keynote Speaker
Arjune Sen, Oxford University
Graves Hall 104 (Auditorium)
| Graves Hall 104 (Auditorium) |
10:15 am – 10:30 am
Coffee Break
Graves Hall Atrium
10:30 am – 12:00 pm
Breakout Sessions I
10:30 am – 12:00 pm
Session Topics and Speakers:
AI & Society 1
Graves Hall 104
What is the future of work in the Generative AI era?: A Marxist and Ricardian Analysis
- Larry Liu, Assistant Professor of Sociology, Morgan State University
The Interpretability-Accuracy Trade-Off in Crime Prediction: A Practitioner’s Perspective
- Gaspard Tissandier, Postdoctoral Fellow, Rutgers University
- Alejandro Gimenez-Santana, Rutgers University
10 minute break
Mindsets and Management: AI and Gender (In)Equitable Access to Finance
- Genevieve Smith, Faculty, UC Berkeley, and Student, Oxford University
Responsible AI Development through Community-Informed AI Development
- Jamila Smith-Loud, Head of Impact Lab, Google Research
AI in Medicine
Graves Hall 110
Laying the Groundwork for Equitable AI in Time-Series Medical Imaging
- Fremah Agyemang, Graduate Research Assistant, Morgan State University
Designing Equitable AI: From Diversified Discovery to Clear Communication at the Bedside
- Camille Jimenez, Pfizer
10 minute break
Doxastic Neutrality in AI: A New Paradigm for Managing Uncertainty in Medical Decisions
- Nesim Aslantar, Visiting Research Scholar, Dept. of Philosophy, Indiana U. Bloomington
Session ends 11:10pm
AI & Ethics
Graves Hall 112
A Dilemma for AI Alignment
- Sarah Valdman PhD Candidate, Philosophy, University of Michigan
Ethical Boundaries in the Use of Private and Public Information for Deepfake Creation
- Sherri Lynn Conklin, Assistant Professor of Philosophy,
Washington State University
10 minute break
Rawlsian Justice and Algorithmic Monocultures
- Shiying Li, PhD Candidate, Philosophy,
University of Wisconsin-Madison
From Bias to Balance: Towards Ethical Equity in Artificial Intelligence in Education (AIED)
- Nasreen Watson, Artificial Intelligence Researcher, Department of Philosophy, University of Johannesburg, South Africa
12:00pm – 1:00pm
Lunch
1:00pm-2:30pm
Breakout Sessions II
AI as a Catalyst for Social Change: Designing Technology that Centers Humanity (Panel Discussion)
Graves Hall 104
Panelists:
- Armisha Roberts (Moderator)
Post-Doctoral Researcher,
HCAI Institute at Howard University - Jaye Nias
Sr. Research Scientist,
HCAI Institute at Howard University - Saurav Aryal
Research Scientist,
HCAI Institute at Howard University - Thane Douglas
Undergraduate Researcher,
HCAI Institute at Howard University - Howard Prioleau
Doctoral Research Assistant,
HCAI Institute at Howard University
AI & Society 2
Graves Hall 110
A Data-Driven Exploration of Socioeconomic Influences on Urban Mobility: Enhancing Gender Equity in Maryland’s Transportation Systems
- Zeinab Bandpey and Mehdi Shokouhian, Department of Civil and Environmental Engineering, Morgan State University
Generative AI and the Courts: an American-centered overview*
- Annalisa Triggiano, Sant’Anna School of Advanced Studies, Italy
10 minute break
Arab States’ Readiness for Artificial Intelligence and Its Expected Impacts on Journalism and Media
- Elsayed Elkilany, Mass Communication Department, College of Arts and Sciences, Qatar University
Session ends 2:10pm
Explainability, Safety, & Reliability
Graves Hall 112
Towards AI Safety in Context: How to Design Interdisciplinary AI Audits
- Mona Sloane, Assistant Professor of Data Science and Media Studies, University of Virginia
Pluralistic Alignment: A Roadmap, Recent Work, and Open Problems
- Taylor Sorensen, PhD Student, Department. of Computer Science, University of Washington, Seattle
10 minute break
Evaluating the Quality of Interpretations and Explanations in AI Models in Mission-Critical Domains
- Blessing Ojeme, Assistant Professor, Dept. of Computer Science, Morgan State University
Reliability, Model Assumptions, and Interpretability
- Luigi Scorzato, Accenture
2:30 pm – 4:00 pm
Poster Session
Graves Hall Atrium
4:00 pm – 4:45 pm
Fay Cobb Payton, Rutgers University/ North Carolina State University
Graves Hall 104 Auditorium
4:45pm – 5:45 pm
Reception & Poster Award Ceremony
Graves Hall Atrium
2025 Agenda Day-2
8:30 am – 9:15 am
April 6, 2025
Registration, Continental Breakfast
Graves Hall Atrium
9:15 am – 9:30 am
Welcome, opening remarks
Kofi Nyarko, Morgan State University
Graves Hall 104 (Auditorium)
| Graves Hall 104 (Auditorium) |
9:30 am – 10:15 am
10:15 am – 10:30 am
Coffee Break
| Graves Hall Atrium |
10:30 am – 12:00 pm
Breakout Sessions III
10:30 am – 12:00 pm
Session Topics and Speakers:
AI & Education
Graves Hall 104
What do Doctoral Students Tell?:
Leveraging AI Tools such as ChatGPT, Google Gemini, and Microsoft Copilot in Higher Education
- Krishna Bista, Professor, Morgan State University
Generative AI Adoption in Special Education
- Marie Sakowicz, Graduate Student, University of Maryland, Baltimore County
10 minute break
From Concept to Criteria:
Using Generative AI to Develop Grading
Rubrics for Undergraduate Courses
- Bryn Seabrook, Assistant Professor in Engineering & Society, University of Virginia
LLMs and Educational Equity
- Renzhe Yu, Teachers College, Columbia University
Bias Mitigation & Fairness in AI
Graves Hall 112
Fairness and Privacy in High-Stakes NLP
- Anjalie Field, Assistant Professor of Computer Science,
Johns Hopkins University
Trustwatch: Find an AI You Trust
- Chukwuemeka Duru, Morgan State University
10 minute break
Proactive Methods For Ensuring Fairness in AI Systems in Healthcare
- Sudip Sharma, Graduate Research Assistant,
CEAMLS, Morgan University
Session ends at 11:40pm
12:00 pm – 1:00 pm
Lunch
1:00pm-2:00pm
Breakout Sessions IV
AI & Environment
Graves 104
A machine learning based high-resolution gridded surface climate dataset over land
- Douglas Rao, NC Institute for Climate Studies, NC State University
How “Ethical” Factory Farming with AI
Imperils Future Animals
- Amber Sheldon, PhD Candidate, Boston University,
Department of Philosophy
Environmental Challenges of AI
- Willie May, VP of Research, Morgan State University /AAAS Immediate Past President
AI & Decision Sciences
Graves 110
Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions
- Alexander Tolbert, Assistant Professor, Dept. of Quantitative Theory & Methods, Emory University
Multi-Criteria Decision Analysis Framework for Evaluating Artificial Intelligence Systems
- Olusola Olabanjo, PhD Candidate, Dept. of Mathematics,
Graduate RA, CEAMLS, Morgan State University - Phillip Honenberger, AI Ethicist & Researcher, CEAMLS, Morgan State University
Session ends at 1:40pm
AI & Philosophy
Graves 112
Sexual Humiliation and AI: An Existential-Feminist Analysis of Deepfake Pornography
- Kate Yuan, PhD Student, Philosophy
Yale University
Deeply Opaque Black Boxes as a Unique Problem for the Democratic Governance of AI
- Armin Heydari, PhD Candidate, Philosophy,
Harvard University
The Subject Project:
Human Visibility, Vulnerability, and Diversity amidst Proxy Discrimination in the Data Age
- James Garrison, Assistant Professor of Philosophy
2:00 pm – 2:15 pm
Coffee Break
| Graves Hall Atrium |
2:15 pm – 3:00 pm
Keynote Speaker IV
Agus Sudjianto, Wells Fargo/ University of UNC Charlotte
Graves Hall 104
Graves Hall 104
3:00 pm – 3:10 pm
Closing remarks
Kofi Nyarko, Morgan State University
Graves Hall 104 (Auditorium)
3:10 pm – 4:15 pm
Reception
Graves Hall Atrium
Graves Hall Atrium
Speakers
Sina Fazelpour
Northeastern University
Rachel Graham
Small Hinges, SCE
Willie May
Morgan State University
Fay Cobb Payton
North Carolina State / Rutgers
Arjune Sen
Oxford
Mona Sloane
UVA
Agus Sudjianto
Wells Fargo
Alexander Williams Tolbert
Emory University
Gloria Washington
Howard University
Sponsorship
Transform the Future With Us
In an era where artificial intelligence (AI) shapes every facet of society, the National Symposium on Equitable AI invites visionaries to support a landmark event dedicated to fostering inclusivity, fairness, and equity in AI technologies. The Symposium will convene leading minds in technology, policy, academia, and social advocacy to chart a path toward more ethical AI development and usage.
Why Sponsor?
Impact: As a sponsor, you have the unique opportunity to influence the conversation around equitable AI, demonstrating your commitment to responsible AI development. Your support will help bring together diverse voices and perspectives, essential for driving meaningful change in the industry.
Join Us
The National Symposium on Equitable AI is more than an event; it’s a movement towards creating a more inclusive, fair, and equitable technological future. Your sponsorship not only supports this vital conversation but also positions your organization as a leader in shaping the future of AI.
Networking and Collaboration
The Symposium offers exclusive networking opportunities with thought leaders, potential collaborators, and innovators. Sponsors will have access to VIP events, roundtable discussions, and bespoke matchmaking sessions to facilitate valuable connections that can drive future innovations.
Custom Sponsorship Opportunities
We welcome the opportunity to create bespoke sponsorship experiences that align with your specific interests and goals. Whether it’s sponsoring a scholarship for emerging leaders, underwriting a technology showcase, or something entirely unique, we’re excited to collaborate with you.
For more details on sponsorship packages and to discuss how you can be part of this transformative event, please contact our Sponsorship Team at albert.sweets@morgan.edu.
For more details on sponsorship packages and to discuss how you can be part of this transformative event, please contact our Sponsorship Team at albert.sweets@morgan.edu.
