EXTERNAL AUDIENCES & INDIVIDUAL DONORS
AI for Science and Health
I have my pulse on AI for science—from Anthropic's field-leading program and numerous connectors to Google Labs' new experimental tools—so it was exciting to research and synthesize scientific models Mount Sinai is bringing into being. I took care to ground the piece in the integrity that is essential to development and implementation of AI in any context.
The Opportunity
This piece served multiple functions: (a) as a piece for donors to understand how AI is being used across Mount Sinai, (b) as a sort of internal documentation, and (c) as a repository of language for editorial and communications teams across the institution to repurpose (and on which to train our AI-enabled style guide).
It began with a "menu" of funding opportunities drafted by a gift officer and faculty; I finessed that piece and then created this one, a comprehensive "case for support," from scratch. It conveys the values by which Mount Sinai shapes AI and coalesces disparate and rapidly evolving efforts into a single vision for trustworthy and scalable AI for science and health.
The Process
Notable structural decisions:
With faculty office staff, we conducted a survey of experts' research initiatives centering on AI and edited their responses to integrate into the "Research" section of the piece, specifically a subsection on the biology of disease and therapeutic design.
I felt strongly that it was important to include an "Interpretability, Ethics, and Equity" subsection here as well, so I wrote one, drawing on Health Affairs articles written by Mount Sinai faculty in addition to other sources.
The "Clinical" section I divided into applications improving care today and innovations shaping tomorrow's care.
