585: Human AI Collaboration: Fad, Fringe, and Innovating for the Future (19809)

This workshop’s goal is to provide opportunities to develop an interdisciplinary research agenda on the role of human-AI collaboration in decision-making contexts such as healthcare, finance, and renewable energy, as well as creativity and innovation in the arts, science, and knowledge work. The workshop is motivated by the ever-evolving relationship between human capabilities and generative artificial intelligence (AI) for organizational decision-making and creativity. Since OpenAI released its popular chatbot, ChatGPT, in November 2022, there has been burgeoning interest in the potential for humans and AI to work together – bringing both exciting opportunities and perils of replacement. We focus on pioneering, long-term questions that management, technology, and strategy scholars should explore within this cutting-edge field, distinguishing the future of human-AI collaboration from mere fads and fringe theories. What is clear is that AI is here to stay, and knowledge workers who use AI will likely replace those who do not in a range of industries, such as consulting (Dell’Acqua et al., 2023), content creation (Chen & Chan, 2023), entrepreneurship (Otis et al., 2023), and medicine (Ayers et al., 2023). To advance understanding, this PDW will engage an interdisciplinary group of scholars from strategy, management, and adjacent fields of information systems, operations management, sociology, and machine learning, to develop the foundational questions in AI and human collaboration for the next five years. Integrated into these discussions, we plan to incorporate paper presentations with live AI Demonstrations and Simulations. These interactive components will showcase the latest multimodal Large language models (LLMs) and generative AI technologies. Participants will witness AI’s capabilities and limitations firsthand, offering a practical context to the theoretical insights provided by our panelists. These demonstrations aim to provide a tangible understanding of how AI can augment human skills in various professional settings. Following the panel discussions, participants will engage in Small Breakout Sessions for collaborative brainstorming. These sessions are designed to facilitate deeper conversations and brainstorming about future directions and potential workstreams in human-AI collaboration. Attendees will have the opportunity to interact closely with experts, peers, and a customized AI model that is pre-trained based on participants’ submitted abstracts (upon consent), discussing how the insights and technologies demonstrated can be applied to their own fields and interests. This PDW is tailored for a wide audience, including academic scholars and industry practitioners, and aims to foster a collaborative environment where diverse perspectives can converge on cutting-edge research questions for future work. Our objective is to provide a comprehensive overview of the current landscape of human-AI collaboration using some interactive components, as well as to spark innovative ideas and partnerships that will shape the future management research on human-AI collaboration.