Artificial Intelligence: Disrupting Work and Destabilizing Social Processes

Abstract

This presenter symposium advances our scholarly understanding of the unintended consequences of Artificial Intelligence (AI) in and around organizations. Through five papers, we unpack several emergent concerns of AI use: how Large Language Models could create labor market inequalities, AI's paradoxical undermining of professional decision-making, the deterioration of grievance authenticity in AI-based social activism, AI's homogenizing effects on entrepreneurial ideation, and how corporate control of AI systems compromises scholarly independence. Together, these papers demonstrate how AI is disrupting work and destabilizing social processes. The Uneven Impact of Large Language Models on Labor Market Dynamics Author: Paul Merritt; Cornell University Author: Ben A Rissing; Cornell University Generative AI as a Power Persuader: How GenAI Disrupts Professionals’ Ability to Interrogate it Author: Steven Randazzo; Author: Akshita Joshi; Author: Katherine C. Kellogg; Author: Hila Lifshitz-Assaf; Author: Fabrizio Dell'Acqua; Harvard Business School Author: Francois Candelon; Author: Karim R. Lakhani; Harvard Business School Authenticity in Social Activism: The Case of AI-Based Social Media Bots Author: Luis Hillebrand; University of Geneva Author: Forrest Briscoe; Cornell University The Effects of Generative AI on Entrepreneurial Theorizing Author: Sung Ho Park; University of Oregon Author: Alex Michael Murray; University of Oregon Corporate Empiricism: How Controlling AI Reshapes Knowledge Production Author: Christine Moser; Vrije Universiteit Amsterdam Author: Gazi Islam; Grenoble Ecole de Management

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