all AI news
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare. (arXiv:2204.13194v1 [cs.HC])
April 29, 2022, 1:11 a.m. | Marissa Radensky, Dustin Burson, Rajya Bhaiya, Daniel S. Weld
cs.LG updates on arXiv.org arxiv.org
An important goal in the field of human-AI interaction is to help users more
appropriately trust AI systems' decisions. A situation in which the user may
particularly benefit from more appropriate trust is when the AI receives
anomalous input or provides anomalous output. To the best of our knowledge,
this is the first work towards understanding how anomaly alerts may contribute
to appropriate trust of AI. In a formative mixed-methods study with 4
radiologists and 4 other physicians, we explore …
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
2 days, 21 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne