To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
University of Virginia · New York University
Abstract
Artificial intelligence (AI) technologies promise to transform how professionals conduct knowledge work by augmenting their capabilities for making professional judgments. We know little, however, about how human-AI augmentation takes place in practice. Yet, gaining this understanding is particularly important when professionals use AI tools to form judgments on critical decisions. We conducted an in-depth field study in a major U.S. hospital where AI tools were used in three departments by diagnostic radiologists making breast cancer, lung cancer, and bone age determinations. The study illustrates the hindering effects of opacity that professionals experienced when using AI tools and explores how these…
Citation impact
- FWCI
- 22.58
- Percentile
- 100%
- References
- 94
Authors
3Topics & keywords
- Psychology
- Interrogation
- Work (physics)
- Knowledge management
- Artificial intelligence
- Computer science
- Political science
- Engineering