October 26, 2026 
Noon – 1 p.m. via Zoom 
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Session Description

Despite their novelty, AI systems have become not only the ultimate multitool in a researcher’s kit, but a profound thought partner in generating ideas, implementing analytic methods, and crafting presentation materials. When carrying out clinical and translational research, effective collaboration with AI can be encompassed clearly using Anthropic’s 4D Framework: Delegation, Description, Discernment, and Diligence. However, implementing this framework can lead to more meta-scientific and epistemic questions than practical answers. This presentation introduces the 4D Framework; demonstrates its utility in collaborating with AI to yield robust, useful, and interpretable analytic results with an exemplary research question; and provides a set of practical recommendations for biomedical researchers using AI throughout the research process.

Presenter

Anthony A. Mangino, PhD 

Tony Mangino is an Assistant Professor in the Department of Biostatistics at the University of Kentucky, and is a team scientist in both the Biostat CIRCL and BERD Core at UK. Tony primarily collaborates with clinicians, epidemiologists, and other biomedical and public health researchers answer a wide range of research questions across numerous phenomena, disease processes, and outcomes. His own research focuses on the generation, use, and evaluation of synthetic data—including AI prompts and outputs—and the ethics of doing so, with a specific focus on reproducibility, security, transparency, and validation.