> [!summary]+ Summary > The purpose of this presentation was to support the learning and professional development experience of a selective group of graduate students in the Maternal Child and Health program at GWU MISPH. Along with faculty colleague, we were asked to talk to the students about the future they will encounter with generative Artificial Intelligence (genAI) as a part of their profession. # genAI for Maternal and Child Health Leaders **Delivery details:** <u>Date</u>: January 24, 2025 <u>Target audience</u>: GWU MISPH faculty, staff, and students <u>Delivery format</u>: In-person <u>Duration</u>: 60 minutes ## About the presentation This presentation was delivered upon invitation to graduate students of the [Maternal Child and Health program](https://publichealth.gwu.edu/maternal-and-child-health-mph) of the [GWU Milken Institute School of Public Health (MISPH)](https://publichealth.gwu.edu/). In particular, the participating students were a part of the Maternal and Child Health (MCH) [Leadership Training Program (LTP)](https://mch.publichealth.gwu.edu/leadership-training-program), led by the GW-MCH Center of Excellence (CoE). In delivering this, I asked [Juan Klopper, M.D.](https://publichealth.gwu.edu/departments/biostatistics-and-bioinformatics/juan-klopper) from GWU Milken Institute School of Public Health join me and share some of his valuable expertise in medical science and Artificial Intelligence (AI). This 2-hour session was different from many others I had done. Namely, it was not for faculty. It was instead for students. And it felt great to feel again like I was teaching. We knew that this would be the first of 2 sessions and for this one we wanted to generate both some thinking and discussion. So this one involved the use of a "parking-lot" for their thoughts. The following was the flow of the session: 1. Warm-up discussion where we asked students how they were feeling about AI. (Note: Prior to the session we sent the students some pre-work that included all of the questions we planned to ask.) In answering their feeling, students were asked to write their responses on stickies and post them on the room whiteboard. 2. An overview of genAI in Maternal and Child Health leadership — my colleague Dr Klopper told a story that covered the eras of AI, machine learning, and some mathematical modeling; I introduced some tool types, ways humans are using genAI, and ways it may be used in their area. 3. Real-world scenario based on materials provided from program leadership — my colleague Dr Klopper set-up the scenario, we broke them into teams, and let them work through it. We talked through the discussion questions with the students. The last part was to cover decision-making and ethics, but we did not have enough time for that. So we held onto that content. > [!info]+ Follow-up session > A 2-hour follow-up session to this was delivered on **April 29, 2025**. Again I and Dr Klopper jointly delivered this. Unlike the first session, we decided to not use any slides and instead just have a conversation with the students. With the students permission, we recorded the session with the idea that we may input it into ChatGPT for an analysis of the talk. ## Slide deck <div class="container"><iframe class="responsive-iframe-sd" src="https://1drv.ms/b/c/13829E5D2EB238DE/IQQkoV_4Q6EzQYck6azi-ccSAcVLbrgE6UU78yhKDWJ3aLM" width="100%" height="400" frameborder="0" scrolling="no"></iframe></div> *Note: These slides were built with a custom slide deck that I made using Microsoft PowerPoint. Generative Artificial Intelligence (genAI) was not used to develop the message of this presentation, but was used to create some visuals. All stock images were provided by [Getty Images](https://www.gettyimages.com) and [Adobe Stock](https://stock.adobe.com).* ## 🎯 Results This presentation led to immediate deep conversation with students about the use and ethics with genAI, as well as how they may encounter it in the future. The conversation was so fruitful that my partner and I were invited to return months later to pickup the conversation and focus on genAI in future work. Attendance was 20 in-person.