Abstract

Society faces an increasing number of problems whose scale and complexity are growing exponentially (e.g. global warming, global health crisis/pandemic, food distribution etc.). The advent of artificial intelligence (AI) holds the promise to help us bring together the knowledge and associated action to solve them. However, our ability to tap into the distributed creative potential of humans and AI necessarily involves figuring out how to make them work together as a collective. In this symposium, we bring together diverse perspectives from cross-disciplinary scholars attacking this problem using diverse theoretical lenses and research methods. Together these five papers (qualitative, computational, empirical, and theoretical) create an opportunity to discuss multiple ways for leveraging AI for augmenting individual cognition, interactive processes, and collective functioning. Our goal is to provoke discussion at the intersection of computational social science, complexity sciences, information science, and management science to stimulate progress toward the human-AI systems that provide the greatest hope of solving the major problems threatening humanity. Humans Plus Machines: Diverging Discourse and Structuring of AI Technologies Among Senior Executives Presenter: Rebecca Hinds; Stanford U. Presenter: Melissa Valentine; Stanford U. Designing Diversity for Collective Intelligence with Expert-Aware AI Presenter: James Evans; U. Of Chicago Presenter: Jamshid Sourati; U. Of Chicago Online Diversity improves Geopolitical Forecasting Accuracy as a Function of Group size Presenter: Niccolo Pescetelli; Max Planck Institute for Human Development Presenter: Alex Rutherford; Max Planck Institute for Human Development Presenter: Iyad Rahwan; Max Planck Institute for Human Development Understanding how Machine Behavior Shapes Group Interaction and Effectiveness Presenter: Malte Friedrich Jung; Stanford U. A Functional Systems Theory of Collective Intelligence: Articulating a role for AI in CI Presenter: Pranav Gupta; Carnegie Mellon U. Presenter: Anita Williams Woolley; Carnegie Mellon U.

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