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The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications. Recommendations are provided with a means to engage in this mobilization effort., (Copyright © 2024 Nancy J. Allee, Gerald Perry, Gabriel R.Rios, Joshua C. Rubin, Vignesh Subbian, Deborah E. Swain, Terrie R. Wheeler.)

In response to the spread of COVID-19, governments across the world, with very few exceptions, have enacted sweeping restrictive lockdown policies that impede citizens' freedom to move, work, and assemble. This paper critically responds to the central arguments for restrictive lockdown legislation. We build our critique on the following assumption: public policy that enjoys virtually unanimous support worldwide should be justified by uncontroversial moral principles. We argue that the virtually unanimous support in favor of restrictive lockdowns is not adequately justified by the arguments given in favor of them. Importantly, this is not to say that states ought not impose restrictive lockdown measures, but rather that the extent of the acceptance of these measures is not proportionate to the strength of the arguments for lockdowns., (© The Author(s) 2023. Published by Oxford University Press, on behalf of the Journal of Medicine and Philosophy Inc. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)