#  Roy Perlis: AI, Medical Publishing, and Trust 

 



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####  calendar\_today Date and Time 

 **April 7, 2026** 

 12:00PM - 01:30PM EDT 

####  pin\_drop Location 

 **Science Center 469**  

Vegetarian Lunch Provided. Registration Required.

 

 

 [ Register on Harvard SharePoint (Request Access with HarvardKey) arrow\_circle\_right ](https://hu.sharepoint.com/sites/History-of-Science-AI-Seminar) 

 



 

Roy Perlis begins discussion of this month's faculty seminar on *Knowledge Production and the University in the Age of AI*. His talk is titled "AI, Medical Publishing, and Trust." Faculty and researchers from all Harvard schools welcome. Registration required.

This seminar is sponsored by the Department of the History of Science and by the Harvard Data Science Initiative.



 

###  AI, Medical Publishing, and Trust 

Generative AI impacts not only how knowledge is generated, but how it is consumed. Ironically, consideration of the real-world impact of big data has been driven largely by anecdote and intuition, with little empirical data to motivate conversation. This presentation will examine, using multiple real-world data sources including population-based surveys, the response to generative AI. It will consider how AI is being used to create and evaluate medical research, and how this may alter both scientists’ and patients’ perception of science.



 

####  Roy Perlis 

   ![headshot of Roy Perlis](/sites/g/files/omnuum9516/files/styles/hwp_1_1__360x360_scale/public/2026-03/Perlis%20head%20shot%20headshot_older.jpg?itok=K201U7LH) 

 

Roy Perlis, MD MSc is Vice Chair for Research and Ronald I. Dozoretz, MD Endowed Chair in the Department of Psychiatry at Massachusetts General Brigham, where he also directs the hospital-wide Center for Quantitative Health. He is a Professor of Psychiatry at Harvard Medical School and Editor in Chief of JAMA+ AI, responsible for AI content across the JAMA Network. Dr. Perlis has authored more than 500 articles reporting original research in peer-reviewed journals ranging from *Nature Genetics* and *Nature Neuroscience* to *JAMA* and the *New England Journal of Medicine,* focused on development of novel treatments and biomarkers for brain diseases.

The Perlis lab pioneered the application of emerging artificial intelligence methods to improve patient care in psychiatry, using electronic health records for understanding the course of mood disorders and characterizing treatment response. Applying these kinds of methods to biobanks allowed his group and collaborators to identify the first risk genes for major depression, in 2016, and for treatment-resistant depression, in 2023. Dr. Perlis was awarded the Depression and Bipolar Support Alliance's Gerald L. Klerman Young Investigator Award in 2010, and the DBSA’s Senior Investigator Award in 2025; he is proud to serve as a scientific advisor to the DBSA. In his spare time, he enjoys tinkering with pinball machines and trying to grow things.



 

### Seminar Readings 

 

Roy Perlis has precirculated the following articles for discussion.



 [Author Disclosure of Use of AI in Submissions to 13 JAMA Network Journals chevron\_right](https://pubmed.ncbi.nlm.nih.gov/41604185/) [Psychiatric Documentation and Management in Primary Care With Artificial Intell… chevron\_right](https://pubmed.ncbi.nlm.nih.gov/41563771/) [Chatting With a Chatbot: The History of the First Clinical Chatbots (Youtube.co… chevron\_right](https://www.youtube.com/watch?v=jQBKIGZtJ5g) 

 



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###  Knowledge Production and the University in the Age of AI 

 Faculty Seminar 

At this time of seismic change for the university, and the research systems of which we are a central part, it is hard to find a moment to pause and ask: *how should we make knowledge in the future?*



 

 

 

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##  Seminar Sponsors 

This seminar is co-sponsored by the Department of the History of Science and the Harvard Data Science Initiative.

 

 



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 [### Department of the History of Science

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 [### Harvard Data Science Initiative

 ](https://datascience.harvard.edu/) 

 

 

 

 

 

 

 

 



 

 

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