How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists and other AI-adjacent roles on the same team. During these collaborations, there is a knowledge mismatch between AI deve...

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Bibliographic Details
Published in:Proceedings of the ACM on human-computer interaction 2021-04, Vol.5 (CSCW1), p.1-25, Article 131
Main Authors: Piorkowski, David, Park, Soya, Wang, April Yi, Wang, Dakuo, Muller, Michael, Portnoy, Felix
Format: Article
Language:English
Subjects:
Collaborative and social computing
Empirical studies in collaborative and social computing
Human-centered computing
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Summary:The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists and other AI-adjacent roles on the same team. During these collaborations, there is a knowledge mismatch between AI developers, who are skilled in data science, and external stakeholders who are typically not. This difference leads to communication gaps, and the onus falls on AI developers to explain data science concepts to their collaborators. In this paper, we report on a study including analyses of both interviews with AI developers and artifacts they produced for communication. Using the analytic lens of shared mental models, we report on the types of communication gaps that AI developers face, how AI developers communicate across disciplinary and organizational boundaries, and how they simultaneously manage issues regarding trust and expectations.
ISSN:2573-0142
2573-0142
DOI:10.1145/3449205