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arXiv · 2111.07779

Overcoming Digital Gravity when using AI in Public Health Decisions

Sekou L Remy·Aisha Walcott-Bryant·Nelson K Bore·Charles M Wachira·Julian Kuenhert
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Abstract

In popular usage, Data Gravity refers to the ability of a body of data to attract applications, services and other data. In this work we introduce a broader concept, "Digital Gravity" which includes not just data, but other elements of the AI/ML workflow. This concept is born out of our recent experiences in developing and deploying an AI-based decision support platform intended for use in a public health context. In addition to data, examples of additional considerations are compute (infrastructure and software), DevSecOps (personnel and practices), algorithms/programs, control planes, middleware (considered separately from programs), and even companies/service providers. We discuss the impact of Digital Gravity on the pathway to adoption and suggest preliminary approaches to conceptualize and mitigate the friction caused by it.

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Sekou L Remy, Aisha Walcott-Bryant, Nelson K Bore, Charles M Wachira, Julian Kuenhert. 2021-11-05. Overcoming Digital Gravity when using AI in Public Health Decisions. https://arxiv.org/abs/2111.07779

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