Search

The new era of industry 4.0 has empowered organizations to revolutionize the workplace through artificial intelligence (AI). As AI becomes more ubiquitous and ingrained in both organizational and daily life, new questions arise about the dynamics of human-AI interactions and its implications for management and society. The current symposium seeks to shed light on critical aspects of these AI-driven changes, taking a focused perspective on research at the intersection of technology and organizational behavior. The five papers featured in this symposium delve into the multifaceted and complex nature of human-AI interactions, collectively exploring how people navigate and develop relationships with AI systems. The papers investigate influential topics such as ethical beliefs and considerations toward AI, the impact of AI on individual attitudes and behaviors, and the evolution of human-AI partnerships within organizations. Together, the papers contribute to the growing body of knowledge on AI and human behavior, offering new insights into the challenges and opportunities that arise as people work in an increasingly artificial workplace. Is AI Capable of Autonomous Ethical Decision-Making? It Depends on Whether You Think Like an Engine Author: Mahak Nagpal; U. of St. Thomas Author: David De Cremer; Northeastern U., D'Amore-McKim School of Business Author: Alain Van Hiel; Ghent U. Author: Shane Schweitzer; Northeastern U., D'Amore-McKim School of Business Artificial Intelligence Promotes Ethical Fading in Negotiation Author: Amanda Plummer Weirup; Babson College Author: Lily Morse; U. of Denver Author: McKenzie Rees; Brigham Young U. Smooth-Talking Bots: AI Negotiators Make Better Impressions Author: David Fang; Stanford U. Author: Mohammed Alsobay; MIT Sloan School of Management Author: Abdullah Almaatouq; Massachusetts Institute of Technology Author: Jared R. Curhan; MIT Sloan School of Management The Diverging Disparity Effect in Socially Interactive Artificial Intelligence: An Emotional Perspec Author: Mehran Bahmani; Schulich School of Business, York U. Author: Laura Rees; Oregon State U. Commitment Issues: Platform and Job Design in Algorithmically Managed Contexts Author: Allen Brown; Carnegie Mellon U. - Tepper School of Business Author: Christopher Dishop; Carnegie Mellon U. - Tepper School of Business Author: Andrew Kuznetsov; Carnegie Mellon U. Author: Ping-Ya Chao; Carnegie Mellon U. Author: Anita Williams Woolley; Carnegie Mellon U. [ABSTRACT FROM AUTHOR]

The goal of this symposium is to connect theorists, methodologists, and technologists at the interdisciplinary frontier of team collaboration and conflict management studies. Specifically, this symposium weaves together technology's dual implications on both teams and the science of teamwork. Across four original research papers, we will demonstrate that studying teams in a digital setting is more than simply a recreation of in-person interactions, but rather a rich setting for methodological innovation. These innovations, in turn, push the boundaries of our knowledge about teamwork, particularly in a world in which collaboration increasingly occurs via technology. We call this bidirectional interplay between methods and theory a "computational science of collaboration." Paper 1 introduces a model designed to capture the dynamics of naturalistic turn-taking, showing how fine-grained data can help to bridge the gap between micro-level turn dynamics and broader macro-level outcomes. Paper 2 further expands on micro-level dynamics to explore how conflict dynamics differ across communication media, with implications for facilitating constructive disagreements in a digitized yet polarized world. Paper 3 presents the results of an online experiment that systematically varies five facets of teamwork (Team Composition, Team Size, Task Attributes, Task Complexity, and Communication Process). Its findings show that, all else equal, team outcomes are highly dependent on the task at hand. Lastly, Paper 4 demonstrates how researchers can take advantage of the latest advances in Large Language Models to build interactive agents for behavioral experiments. Following the four presentations, discussants Laurie Weingart and Randall Peterson will lead a conversation integrating the papers' theoretical and methodological contributions. In what ways do these novel tools extend prior theories of teamwork, perhaps with greater precision or resolution, and in what ways do they highlight novel forms of collaboration — whether across different modalities, different tasks, or different types of "teammates" (AI-powered versus human)? How might this "computational science" influence our field's research agenda in the years to come? Interloper: A Model to Segment Transcripts into Naturalistic Conversational Turns Author: Gus Cooney; The Wharton School, U. of Pennsylvania Speaking of Receptiveness: How Spoken Conversations Facilitate Constructive Disagreement Author: Juliana Schroeder; U. of California, Berkeley Author: Burint Bevis; Imperial College Business School Recipe for Success: Quantifying the Relative Influence of Teamwork Facets on Performance Author: Xinlan Emily Hu; Wharton Author: Abdullah Almaatouq; Massachusetts Institute of Technology Author: Mark Whiting; U. of Pennsylvania Author: Duncan J. Watts; U. of Pennsylvania Generative Agents and Confederates: Promise, Peril, and Application to Online Experiments Author: Mohammed Alsobay; MIT Sloan School of Management [ABSTRACT FROM AUTHOR]