“Trust comes from being able to check the answer and the path that produced it,” said Daniel Escott, Chief Executive Officer at Formic AI. “Boreal gives teams a clear link back to source documents and ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

In this week's "Five questions with" feature, meet Deepshikha Bhati, a Kent State University at Stark faculty member with a ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Explainable AI (XAI) is a field of AI that focusses on developing techniques to make AI models more understandable to humans. Explainable AI (XAI) is a field of AI that focusses on developing ...

The study identifies responsible AI as being most visible in conceptual and policy-oriented research, addressing issues such ...

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased. Human ...

A second panel moderated by Mr. Subhodeep Jash (The Asia Group) examined how AI is reshaping learning ecosystems.

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...

Google LLC has introduced a new “Explainable AI” service to its cloud platform aimed at making the process by which machine learning models come to their decisions more transparent. The idea is that ...