AI in Academia: Navigating the Future

Mareike Möhlmann, associate professor of computer information systems at Bentley University, discusses how her university has been working on guidelines and guidance for faculty around AI, what Uber tells us about the future of AI and work, and how to support digital literacy.

Dr. Dawn Edmiston, an award-winning Clinical Professor of Marketing at William & Mary (W&M) discusses the use of generative AI for personal branding and digital marketing, practical strategies, challenges, and ethical considerations for integrating AI in the classroom and online learning. She also dives into the importance of asking better questions, and how AI can support—not replace—human creativity and connection.

Karen Saxe and Courtney Gibbons, two math professors who moved into careers in public policy, discuss Congress’s response to AI, key legislation affecting AI literacy, ethical concerns and bias, AI’s role in teaching and research, the U.S. vs. EU approach to AI regulation, and how academics can engage in policy-making at the local and national levels. NOTE: This episode was recorded on September 10, 2024. As you will hear in our intro, our guests on this episode work on public policies and with the current changes in the administration some of the discussions you will hear may no longer apply. Our guest Courtney Gibbons lost her intermittent expert appointment at the NSF. Gary C. Peters is now ranking member of the committee I worked for (HSGAC).

Julian Togelius, Associate Professor of Computer Science and Engineering at NYU's Tandon School of Engineering, discusses AI and games, learning strategies to assess AI in teaching, strategies for designing assessments, and when to use or avoid AI.

Ian Cross, Senior Lecturer in Marketing @ Bentley University, discusses one of Bentley's first AI courses, the impact of AI in advertising and marketing, AI's relation to the printing press, how AI helps companies evaluate and assess their brand, and why AI might be the next big wave of economic opportunity.