#presentation #genAI #economics #faculty #ai-literacy > [!summary]+ Summary > The purpose of this presentation was to provide faculty of the Economics Department with a strong sense of what they and their students could do with generative Artificial Intelligence. From prior experience working with economists, I know how real-world scenarios help them as well as the application of mathematics. So I invited a colleague whom I highly respect and is an expert in mathematics, particularly with the use of AI. # Re-imagining Economics Instruction with genAI **Delivery details:** <u>Date</u>: May 2, 2024 <u>Target audience</u>: GWU CCAS faculty and students <u>Delivery format</u>: In-person <u>Duration</u>: 60 minutes ## About the presentation This presentation was delivered upon invitation from the [GWU Columbian College of Arts and Sciences (CCAS) Economics Department](https://economics.columbian.gwu.edu/). 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 to join me and demonstrate some of his work teaching mathematics with generative Artificial Intelligence (genAI). He is an extremely talented instructor with a wealth of expertise in medical science and advanced technologies. By the time I delivered this presentation, the attitude was still very mixed on campus, but still leaning away from accepting the use of genAI in teaching. I decided to begin the presentation by being transparent about where I stood and what I hoped to communicate in the session. I broke the presentation into sections and delivered the following: 1. Foundation: genAI and pedagogy — what we should do, what AI literacy is, and what AI can do in teaching and research 2. Relationship and communication with genAI — outline how to effectively engage with genAI; include a demonstration of working an economics problem with a selected AI agent within a paid ChatGPT account. 3. Activity and discussion with genAI — demonstrated work with real-world economics problems identified by the International Monetary Fund (IMF); **demonstration from Juan Klopper on using genAI in teaching mathematics**. ## Slide deck <div class="container"><iframe class="responsive-iframe-sd" src="https://1drv.ms/b/c/13829E5D2EB238DE/IQSc1rPm73PcRIKIhCzTPcMOAV6OFbde6QCNi2jrKFDdtrQ" 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. Avatar and computer icons were created by [Leah Sims](https://www.leahsims.net/about). All stock images were provided by [Getty Images](https://www.gettyimages.com).* ## 🎯 Results This presentation created a foundation for economics faculty and students to engage with genAI. They reported having a new sense of what they could do, where to begin, and had generated ideas about what to focus on. Attendance was 10–15 in person, with additional participants online. ## Resources The following were used to research the content of this presentation: - [Brown University, Department of Economics — Research Questions](https://economics.brown.edu/orlando-bravo-center/research/faculty-research-questions) - [Japan’s Economy Would Gain With More Women in Science and Technology](https://www.imf.org/en/News/Articles/2023/11/13/cf-japans-economy-would-gain-with-more-women-in-science-and-technology) by Rui Xu (IMF) - [AI Will Transform the Global Economy. Let’s Make Sure It Benefits Humanity](https://www.imf.org/en/Blogs/Articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity) by Kristalina Georgieva - [The Changing Landscape of Crypto Assets—Considerations for Regulatory and Supervisory Authorities](https://www.imf.org/en/News/Articles/2024/02/23/sp022324-changing-landscape-crypto-assets-considerations-regulatory-and-supervisory-authorities) - [Long, D., & Magerko, B. (2020, April). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-16).](https://dl.acm.org/doi/abs/10.1145/3313831.3376727) - [Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.](https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/pra2.487)