In my previous article, I discussed the importance of AI explainability and the different categories of AI explainability, explainable predictions, explainable algorithms and interpretable ...

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 ...

As the impact of artificial intelligence (AI) grows in our world, the University of Adelaide is exploring the role that technology can play in the health sphere, particularly in clinical ...

A machine can now reject a loan, flag a patient as high-risk, rank a job applicant, identify a military target, recommend a prison sentence, detect fraud, or decide what information millions of people ...

Banks increasingly rely on complex AI models, but explainability has limits. This analysis examines model risk, regulatory ...

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In a global report issued by S&P, 95% of enterprises across various industries said that Artificial Intelligence (AI) adoption is an important part of their digital transformation journey. We’re ...

OpenAI today published a research paper that outlines a new way to improve the clarity and explainability of responses from generative artificial intelligence models. The approach is designed to ...

Once a back-office tool, AI now drives critical decisions across businesses. However, technical prowess doesn't directly translate to trustworthy products. A joint report by SAS and IDC surveying over ...

One of the most important aspects of data science is building trust. This is especially true when you're working with machine learning and AI technologies, which are new and unfamiliar to many people.