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Soo Young Choi
Warwick Business School, United Kingdom
Jacqueline Lane
Harvard U., United States
Charles Ayoubi
Harvard Business School, Switzerland
Hen Emuna
Hebrew U. of Jerusalem
Fabrizio Dell'Acqua
Harvard Business School, United States
Katherine Kellogg
MIT, United States
Karim Lakhani
Harvard U., United States
Ethan Mollick
The Wharton School, U. of Pennsylvania, United States
Francois Candelon
Boston Consulting Group
Eric Zhou
Boston U. Questrom School of Business
Léonard Boussioux
U. of Washington, Michael G. Foster School of Business
Hila Lifshitz-Assaf
Warwick Business School, United Kingdom
Miaomiao Zhang
Harvard Business School, United States
Vladimir Jacimovic
Continuum Labs
Florian Rüffer
U. of Mannheim
Armin Heinzl
U. of Mannheim, Germany
Moran Lazar
Tel Aviv U., Israel
Deborah Mateja
U. of Mannheim, Business School
Sebastian Raisch
GSEM - U. of Geneva, Switzerland
Moran Lazar
Tel Aviv U., Israel
Steven Randazzo
Warwick Business School, United Kingdom
Deborah Mateja
U. of Mannheim, Business School
Dokyun Lee
Boston U. Questrom School of Business
As an integral part of today's technological landscape, artificial intelligence (AI) is rapidly becoming part of creative knowledge work, bringing innovation to organizations. With the capacity “to learn, adapt, and act” independently of human instructions, AI can mimic human thought processes, behavior, and decision-making. This technological advancement transforms AI into "agentic IS artifacts", exemplified by recent generative AI tools like ChatGPT and Midjourney, which promote idea generation and knowledge work. Generative AI challenges the uniqueness of human creativity, as it becomes capable of performing tasks once thought exclusive to human cognition; for example, recognizing patterns, generating images, understanding natural languages, and creating artwork and music. Accordingly, literature on technology and innovation management has started to explore the impact of AI on various aspects of innovation, such as open innovation, digital transformation, disruptive innovation, innovation processes, and practices. Following these, there is a growing interest in understanding how generative technologies transform the nature and organizing of creative work. In light of the need to understand generative AI and its impact on creative processes, the symposium seeks to advance scholarly understanding and foster discussions on recent perspectives and insights around the implications of AI. The integration of AI into knowledge and creative work necessitates an evaluation of the legitimacy of human and machine knowledge work, the relationality of human and machine knowledge, as well as the differences between human and machine generated output. As such, the symposium provides a timely opportunity for scholars to engage in conversations about the present and future of work in the era of AI. The symposium features five paper presentations and an integrative discussion, which will explore how generative AI technologies shape organizational innovation processes, in both desirable and undesirable ways, and integrate different views that provide avenues for future research.
Author: Moran Lazar – Tel Aviv U.
Author: Hila Lifshitz-Assaf – Warwick Business School
Author: Charles Ayoubi – Harvard Business School
Author: Hen Emuna – Hebrew U. of Jerusalem
Author: Fabrizio Dell'Acqua – Harvard Business School
Author: Katherine C. Kellogg – MIT
Author: Karim R. Lakhani – Harvard U.
Author: Hila Lifshitz-Assaf – Warwick Business School
Author: Ethan Mollick – The Wharton School, U. of Pennsylvania
Author: Steven Randazzo – Warwick Business School
Author: Francois Candelon – Boston Consulting Group
Author: Dokyun Lee – Boston U. Questrom School of Business
Author: Eric Zhou – Boston U. Questrom School of Business
Author: Deborah Mateja – U. of Mannheim, Business School
Author: Armin Heinzl – U. of Mannheim
Author: Florian Ruffer – U. of Mannheim
Author: Léonard Boussioux – U. of Washington, Michael G. Foster School of Business
Author: Jacqueline Lane – Harvard U.
Author: Miaomiao Zhang – Harvard Business School
Author: Vladimir Jacimovic – Continuum Labs
Author: Karim R. Lakhani – Harvard U.
Author: Sebastian Raisch – GSEM - U. of Geneva