Call for Abstracts
Human-AI Collaboration: Empowerment, Agency, and Belonging
Submit AbstractCall for Research Contributions
Advancing equitable AI through innovative research and collaboration
The Center for Equitable AI & Machine Learning Systems (CEAMLS) at Morgan State University is pleased to announce its 3rd Annual National Symposium on Equitable AI (N-SEA 2026), to be hosted in Baltimore, Maryland on April 10-11, 2026.
This year's theme is "Human-AI Collaboration: Empowerment, Agency, and Belonging." We invite proposals for talks, posters, workshops, or panel discussions that explore how human agency, empowerment, and belonging can be furthered or threatened by human-AI interactions.
Research Topics
We especially encourage presentations in the following areas
Human-AI Interaction
- Human-AI interaction in real application domains
- Types and models of agents and agency
- Collaborative intelligence frameworks
- Human empowerment through AI
- Preserving human agency in automated systems
Healthcare & Diagnostics
- AI-assisted medical diagnostics
- Human-AI collaboration in healthcare
- Patient agency and empowerment
- Equitable health AI systems
- Clinical decision support systems
Education & Learning
- K-12, College, and Graduate Education AI
- AI tutoring and personalized learning
- Student agency in AI-enhanced education
- Educational equity through AI
- Teacher-AI collaboration models
Legal & Judicial Support
- Legal landscape of human-AI collaboration
- Judicial support systems
- Human rights in AI decision-making
- Legal frameworks for AI agency
- Accountability in AI-assisted justice
Agriculture & Robotics
- Generative Farming and smart agriculture
- Human-robot collaboration
- Agricultural AI for food security
- Robotics and human agency
- Autonomous systems in farming
Arts, Culture & Society
- AI in the Arts: Authorship and Originality
- Copyright and creative AI
- Cultural implications of AI
- Therapy and Cyberpsychology
- Fostering belonging through AI
Abstract Submission Guidelines
Submit your abstract for talks, posters, workshops, or panel discussions
Talks
- 20-minute presentations
- Original research or insights
- Q&A session included
- Abstract: 300-500 words
- Include co-authors if applicable
Posters
- Visual presentation format
- Work-in-progress welcome
- Interactive discussion sessions
- Abstract: 200-300 words
- Poster session networking
Workshops/Panels
- 60-90 minute sessions
- Interactive format encouraged
- Multiple presenters welcome
- Abstract: 500-750 words
- Include session objectives
Submission Requirements
Abstract Components
- Clear title and presentation type
- Corresponding author details
- Co-authors list (if applicable)
- Abstract text (word limit varies by type)
- Keywords (3-5 terms)
Important Notes
- Submissions by corresponding author
- All correspondence to lead author
- Acceptances sent to submitter only
- Questions: jaywilliam.honenberger@morgan.edu
- Deadline: November 17, 2025 at 11:59pm AOE
Abstract Submission Portal
Submissions are due by Monday, November 17, 2025 at 11:59pm AOE (Anywhere On Earth)
Submit Your AbstractReview Process
Rigorous evaluation ensuring quality and impact
Double-Blind Review
Each submission reviewed by at least 3 experts in the field
Fairness Focus
Special attention to ethical considerations and societal impact
Constructive Feedback
Detailed reviews to help authors improve their work
Best Paper Awards
Recognition for outstanding contributions to equitable AI
Special Tracks
Specialized submission categories for diverse perspectives
Student Research Track
Dedicated track for undergraduate and graduate student research with mentorship opportunities
- Reduced page requirements
- Student poster session
- Mentorship matching program
- Student travel support available
Industry Experience Track
Real-world case studies and industry applications of equitable AI
- Practical implementation insights
- Lessons learned from deployment
- Business impact analysis
- Regulatory compliance experiences
Community Impact Track
Community-engaged research and grassroots AI initiatives
- Community-based participatory research
- Local AI impact studies
- Digital divide research
- Community-driven solutions