Recent calls to address racism in bioethics reflect a sense of urgency to mitigate the lethal effects of a lack of action. While the field was catalyzed largely in response to pivotal events deeply rooted in racism and other structures of oppression embedded in research and health care, it has failed to center racial justice in its scholarship, pedagogy, advocacy, and practice, and neglected to integrate anti-racism as a central consideration. Academic bioethics programs play a key role in determining the (...) field’s norms and practices, including methodologies, funding priorities, and professional networks that bear on equity, inclusion, and epistemic justice. This article describes recommendations from the Racial Equity, Diversity, and Inclusion (REDI) Task Force commissioned by the Association of Bioethics Program Directors to prioritize and strengthen anti-racist practices in bioethics programmatic endeavors and to evaluate and develop specific goals to advance REDI. (shrink)

Biomedical research recruitment today focuses on including participants representative of global genetic variation—rightfully so. But ethnographic attention to practices of inclusion highlights how this agenda often transforms into “predatory inclusion,” simplistic pushes to get Black and brown people into genomic databases. As anthropologists of medicine, we argue that the question of how to get from diverse data to concrete benefit for people who are marginalized cannot be presumed to work itself out as a byproduct of diverse datasets. To actualize the (...) equitable translation of genomics, practitioners need to place the impacts of ancestral genetic difference in the scope of much more impactful social determinants. For this to happen, multidisciplinary expertise needs to be leveraged, and current, structurally unequal health care systems ultimately need to transform. As modest steps toward this goal, new models for benefit‐sharing must be developed and implemented to mitigate existing inequality between data donors and the entities profiting from that data. (shrink)