Generative and Conversational AI in Information Systems Research and Education: Opportunities and Challenges

Generative AI for Systems Thinking: Can a GPT Question-Answering System Turn Text into the Causal Maps Produced by Human Readers?

Philippe Giabbanelli, Miami University
Nathan Witkowicz, Miami University

Hilton Hawaiian Village, Honolulu, Hawaii

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Introduction to the Minitrack on Generative and Conversational AI in Information Systems Research and Education: Opportunities and Challenges

Aaron French, Kennesaw State University
Elham Rastegari, Creighton University
Nargess Tahmasbi, Pennsylvania State University
Guohou Shan, Temple University

Hilton Hawaiian Village, Honolulu, Hawaii

12:00 AM - 12:00 AM

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Investigating the Relative Impact of Generative AI vs. Humans on Voluntary Knowledge Contributions

Guohou Shan, Temple University
Dan Pienta, University of Tennessee, Knoxville
Jason Bennet Thatcher, Temple University

Hilton Hawaiian Village, Honolulu, Hawaii

12:00 AM - 12:00 AM

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Narrating Causal Graphs with Large Language Models

Philippe Giabbanelli, Miami University
Atharva Phatak, Lakehead University
Vijay Mago, Lakehead University
Ameeta Agrawal, Portland State University

Hilton Hawaiian Village, Honolulu, Hawaii

12:00 AM - 12:00 AM

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Student Interaction with Generative AI: An Exploration of an Emergent Information-Search Process

Ryan Schuetzler, Brigham Young University
Justin Giboney, Brigham Young University
Taylor Wells, Brigham Young University
Benjamin Richardson, University of Georgia
Tom Meservy, Brigham Young University
Cole Sutton, Brigham Young University
Clay Posey, Brigham Young University
Jacob Steffen, Brigham Young University
Amanda Hughes, Brigham Young University

Hilton Hawaiian Village, Honolulu, Hawaii

12:00 AM - 12:00 AM

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The More Is Not the Merrier: Effects of Prompt Engineering on the Quality of Ideas Generated By GPT-3

Lucas Memmert, Universität Hamburg
Izabel Cvetkovic, Universität Hamburg
Eva Bittner, Universität Hamburg

Hilton Hawaiian Village, Honolulu, Hawaii

12:00 AM - 12:00 AM

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