The explosion in the availability and use of AI-based tools including Large Language Models (LLM) has made it difficult for students to understand how best to use these tools as well as when the use of these tools is professionally appropriate and ethical. This panel discussion will seek to explore how best to guide students in understanding the opportunities with AI as well as some of the professional and ethical questions associated with its use.
What You'll Learn:
How are AI and LLMs helping and hindering students learning?
What are the ethical implications of using AI tools including LLMs?
What are appropriate ways to acknowledge the use of LLMs in writing?
Is There a Charge?
Members: Free
Non-Members: $10
Speakers
Gregory Robson teaches and writes in business ethics, technology ethics, and Christian ethics and is working on a second edition of Technology Ethics: A Philosophical Introduction and Readings (Routledge 2023). His latest articles are on social media firms, virtue, justice, and the ethics of profitable business. Before coming to Notre Dame, he studied economics and organizational development at Vanderbilt, government at Harvard, and philosophy at Duke, the Angelicum (Italy), and University of Arizona, and worked at Iowa State University and Wake Forest University. His research appears in, for instance, The Journal of Philosophy, Journal of Business Ethics, Economics and Philosophy, American Catholic Philosophical Quarterly, and Ethics and Information Technology. He recently co-represented the Society for Business Ethics at the APA Central.
Dr. Justin B. Biddle is an Associate Professor in the School of Public Policy at the Georgia Institute of Technology; the Director of the Georgia Tech Ethics, Technology, and Human Interaction Center, and a Faculty Affiliate in the Georgia Tech Center for Machine Learning. His research focuses on the role of values in the design of technological systems and on the ethics of emerging technologies, with a particular focus on artificial intelligence (AI) systems. He is a part of the Georgia Artificial Intelligence Manufacturing Technology Corridor (Georgia AIM) and leads a team to facilitate the early identification and management of potential ethical and societal consequences of AI-enabled manufacturing systems. He is also co-lead of the Ethical AI Thrust of the National AI Institute on Advances in Optimization. He received his PhD in History and Philosophy of Science from the University of Notre Dame.
Reem Khojah serves as an assistant teaching professor in the Department of Bioengineering at the University of California, San Diego. With experience in instructing bioengineering at introductory and graduate levels, she actively contributes to enhancing accessibility to research tools for undergraduate research experiences. Her primary focus is on optimizing engineering education through data-driven pre-and post-lecture formative assessments and designing AI-proof assignments. Her educational background includes a Ph.D. in Bioengineering from the University of California, Los Angeles. Reem has also engaged in post-doctoral research at the University of California, Santa Cruz, and the University of California, Irvine.
Alexandra Werth is an Assistant Professor at the Meinig School of Biomedical Engineering, where her research is dedicated to advancing evidence-based teaching practices and developing innovative educational tools, including those driven by AI, to enhance the accessibility and effectiveness of authentic learning environments. While her work is deeply rooted in engineering education, particularly within biomedical engineering, it often transcends disciplinary boundaries, contributing to broader educational advancements. Dr. Werth is both an education researcher and trained engineer, holding dual bachelor's degrees in engineering and physics from Swarthmore College, as well as a Ph.D. in Electrical and Computer Engineering from Princeton University. During her doctoral studies, she specialized in developing a non-invasive mid-infrared glucose sensor using quantum cascade laser spectroscopy for diabetes management. Subsequently, she pursued postdoctoral research at the University of Colorado Boulder in physics education research, with a specific focus on undergraduate instructional labs. Notably, she played a pivotal role in developing, implementing, and assessing the first large-enrollment introductory physics course-based research experience (CURE)
Stephen Strain received his bachelor's degree in physics from Columbia College at Columbia University in 1987, the MD degree from ETSU Quillen College of Medicine in 1999, and the MS degree in biomedical engineering from the University of Memphis in 2009. His unfinished doctoral studies include over a decade in the field of cognitive science and artificial intelligence under the late Stan Franklin. He am currently an assistant professor of teaching in the biomedical engineering department at the University of Memphis, and since the release of GPT-3.5 in early 2023, has taken an urgent interest in the impact that generative AI will have on engineering education.
Moderators
Ian Schneider is currently an associate professor in the Department of Chemical and Biological Engineering and the Professor-in-Charge of the undergraduate Biomedical Engineering program in the College of Engineering at ISU. He completed graduate work at North Carolina State University in chemical engineering using both imaging and mathematical modeling to discover a unique intracellular signaling strategy associated with fibroblast migration. His post-doc work was in a cell biology lab at the Scripps Research Institute, where he was a Damon Runyon Cancer Foundation Scholar. There he become interested in mechanobiology and characterized cytoskeletal and adhesion dynamics during growth factor-stimulated migration. In 2009, Schneider moved to ISU, focusing on the biology of the extracellular matrix and how cells respond to and alter its composition, structure and mechanics. More recently, his lab has begun to examine ways to release drugs in response to specific inputs using DNA origami and aptamer discovery strategies. He has been a member of BMES for over 20 years and is currently the chair of the Student Affairs Subcommittee for BMES.
Dr. Laura Hansen is an Assistant Professor in the Department of Medicine- Cardiology at Emory University School of Medicine since 2019. She received her BS in Bioengineering from the University of Pittsburgh in 2007 and PhD in Bioengineering from the Georgia Institute of Technology in 2012 where she studied the mechanics of blood vessel walls and changes associated with different disease states. She then completed her post-doctoral fellowship studying the RAGE receptor in peripheral artery disease at Emory University in Cardiology. Her laboratory studies the interactions between satellite cells and the vasculature. Satellite cells are skeletal muscle progenitor cells that are known to play an important role in muscle repair after injury and adaptation to exercise. However, her lab focuses on a previously underexplored role of satellite cells in vascular growth. This area is of particular interest in the context of peripheral artery disease (PAD), where patients suffer from ischemic tissue damage but treatment options are still limited. The lab has shown that ischemia stimulates satellite cells and is exploring ways to harness their angiogenic properties in vivo via exercise therapy or through therapeutically delivered cells.
