Imagine you're a doctor using a new AI tool that suggests an atypical treatment plan for a patient with a complex medical condition. How do you know whether the model's recommendation is trustworthy - ...
Initial clear and concise definitions are necessary to gain an understanding of just how transparent we are attempting to coax that AI black box into being. (L-R)Brad Goldstein, principal at ProCrysAI ...
AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...
Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...
With machine learning on the rise, businesses are relying on machine learning models and algorithms to derive insights from data and make predictions. Serg Masís, data scientist and author of ...
Evan Hackstadt is a computer science major with minors in biology and math. He is a 2025-26 health care ethics intern at the Markkula Center for Applied Ethics at Santa Clara University. Views are his ...
To many AI practitioners and consumers, explainability is a precondition of AI use. A model that, without showing its work, tells a doctor what medicine to prescribe may be mistrusted. No experienced ...
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