Focus and Modality: Defining A Roadmap to Future AI-Human Teaming in Design

DS 122: Proceedings of the Design Society: 24th International Conference on Engineering Design (ICED23)

Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nad
Author: McComb, Christopher; Boatwright, Peter; Cagan, Jonathan
Series: ICED
Institution: Carnegie Mellon University
Section: Design Methods
Page(s): 1905-1914
DOI number:


The evolution of Artificial Intelligence (AI) and Machine Learning (ML) enables new ways to envision how computer tools will aid, work with, and even guide human teams. This paper explores this new paradigm of design by considering emerging variations of AI-Human collaboration: AI used as a design tool versus AI employed as a guide to human problem solvers, and AI agents which only react to their human counterparts versus AI agents which proactively identify and address needs. The different combinations can be mapped onto a 2

Keywords: Human-AI Teaming, Design for Artificial Intelligence, Machine learning, Teamwork, Artificial intelligence

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