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Any sufficiently advanced technology is indistinguishable from magic. In recent years with machine learning taking over new industries and applications, where the number of users far outnumber experts ...

One of the major challenges facing businesses using AI is understanding exactly how these models make decisions. Traditionally, AI has been treated like a black box: Inputs go in, outputs come out, ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...

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 ...

Interpretability technologies aimed at addressing the so-called "hallucination" phenomenon—where large language models (LLMs) like ChatGPT generate plausible but false content—are showing visible ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...