The AIM-AHEAD Fellowship Program in Leadership
Preparing Tomorrow’s Leaders at the Intersection of
Artificial Intelligence/Machine Learning and Health Equity
AIM-AHEAD Fellowship Program in Leadership will engage a diverse group of participants from under- represented populations to actively participate in mentored didactic and experiential educational activities to convey the leadership competencies necessary to promote and achieve the strategic imperatives of AIM-AHEAD.
The AIM-AHEAD Coordinating Center invites applications for a Leadership Fellowship in Artificial Intelligence/Machine Learning (AI/ML) to Advance Health Equity and Researcher Diversity. The overarching goal of AIM-AHEAD is to increase the participation and engagement of researchers and communities currently underrepresented in AI/ML to utilize the power of AI/ML to achieve health equity through mutually beneficial partnerships. It has become clear, however, even in the early stages of this initiative, that AI/ML lacks diverse researchers and underrepresented communities of practice. The acquisition of AI/ML skills by individuals from these diverse backgrounds, that go beyond academic settings and into the community, promises to improve the science and increase the availability of relevant data. Yet technical competence alone does not guarantee the continued expansion and adoption of AI/ML among the populations of interest. It requires talented people of color and disadvantage from diverse settings sufficiently conversant in AI/ML to translate its promise for advancing health equity and who, in turn, can attract others to join in this common agenda.
This unique Leadership Fellowship program seeks to prepare tomorrow’s leaders to champion the use of AI/ML in addressing persistent health disparities in ways that sustain AIM-AHEAD beyond demonstrated scientific benefit and develop the human capital to promote continued engagement, adoption, and expansion at the level of programs, systems, and policies. Leadership Fellows will be matched with mentors based on AI/ML expertise, leadership experience, and sector.
Learn more here.
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