Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

As I sat down with Jim Wilson, global managing director of thought leadership and technology at Accenture and co-author of the newly updated book Human + Machine: Reimagining Work in the Age of AI, ...