Program for Artificial Intelligence Readiness (PAIR): Building and Sustaining AI/ML Research Capacity at Low-Resource Institutions
Presentation Time: 08:45 AM - 09:00 AM
Abstract Keywords: Health Equity, Diversity, Equity, Inclusion, Accessibility, and Health Equity, Education and Training, Fairness and Elimination of Bias, Machine Learning, Racial Disparities
Primary Track: Foundations
Programmatic Theme: Academic Informatics / LIEAF
Many communities and institutions have untapped potential to contribute new expertise, data, recruitment strategies, and cutting-edge science to Artificial Intelligence and Machine Learning. NIH funded the AIM-AHEAD program to enhance the participation and representation of underrepresented researchers and communities in developing AI/ML models. AIM-AHEAD's PAIR program fills this gap by building capacity for, and creating multidisciplinary AI + Health Equity Labs at low-resource institutions. This podium presentation will highlight the program's success and lessons learned
Speaker(s):
Toufeeq Syed, PhD, MS
UT Health Houston
Presentation Time: 08:45 AM - 09:00 AM
Abstract Keywords: Health Equity, Diversity, Equity, Inclusion, Accessibility, and Health Equity, Education and Training, Fairness and Elimination of Bias, Machine Learning, Racial Disparities
Primary Track: Foundations
Programmatic Theme: Academic Informatics / LIEAF
Many communities and institutions have untapped potential to contribute new expertise, data, recruitment strategies, and cutting-edge science to Artificial Intelligence and Machine Learning. NIH funded the AIM-AHEAD program to enhance the participation and representation of underrepresented researchers and communities in developing AI/ML models. AIM-AHEAD's PAIR program fills this gap by building capacity for, and creating multidisciplinary AI + Health Equity Labs at low-resource institutions. This podium presentation will highlight the program's success and lessons learned
Speaker(s):
Toufeeq Syed, PhD, MS
UT Health Houston
Program for Artificial Intelligence Readiness (PAIR): Building and Sustaining AI/ML Research Capacity at Low-Resource Institutions
Category
Podium Abstract