Researchers in Türkiye used small language models and retrieval-augmented web search to generate new features for tabular ...

IBM has introduced an open source toolkit to help humans interpret the decision-making process of machine learning models. Machine learning models have gained traction across many use cases, such as ...

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 ...

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

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 - ...

As the capabilities of artificial intelligence (AI) evolve, they push the boundaries of human understanding. Instead of transparent, explainable mechanisms, many AI applications are “black boxes,” ...

Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the ...

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 ...

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.