2024 AI for Health Equity Symposium AIM-AHEAD Annual Meeting (AIHES) Post-Conference Virtual Workshop Series, AIM-AHEAD
Created by Jennifer Reiley
AIM-AHEAD will offer a month of virtual post-conference workshops after the 2024 AI for Health Equity Symposium AIM-AHEAD Annual Meeting (AIHES).
Sessions will be 3:00 - 5:00 pm ET, every day, 9/2-9/30 M-F.
Overview/Opening Week
- Ethics, Bias, and Fairness in AI Implications for Health Equity - Democratizing AI for Health Equity
- Data Equity for AI
- Women in AI - AI Applications for Underserved Populations
- Strategies and Solutions for AI Health Equity
Legal & Policy Considerations
- Beyond EHR - AI/ML in Health Outcomes/Population Health/Public Health
- Privacy-Preserving Data Sharing for Research
- The Chilling Effect of Recent Policy and Legal Decisions for Health Equity in AI
- Data Redistribution and Reparative Justice
- Generative AI - A Friend or a Foe for Health Equity
Pathways to Inclusion
- Citizen Data Science and Social Sciences and or Scientific Design
- Empowering Community Not Trained in CS or Data Science in AI Health Equity
- Empowering Health Professionals in AI and Health Equity
- AI for Health Equity: The Role of Telemedicine and Medical Devices
- AI and Precision Medicine
Knowledge Mobilization
- AI and Social Determinants of Health - Social Risk and Social Needs
- Secondary Data Sources of AI/Health Equity Research
- Knowledge Mobilization and Resource Allocation
- Accessing Educational Materials for Health Equity Research
- Do's and Don'ts of ML
