Last year, I participated in a roundtable discussion on artificial intelligence at Fluke Reliability’s Thought Leadership Day ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Ultimately, I believe AI advantage will be defined by how intelligently organizations allocate tokens, compute and energy.

For 20 years, this computational linguistics competition has inspired new generations of innovators in AI and language ...

In January middle school and high school students at more than 200 host sites across the U.S. and parts of Canada competed in the North American Computational Linguistics Open Competition (NACLO), ...

Predictive models can also latch onto patterns that don’t hold up to new data, so be wary of outputs when your company has ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

The paper, “Towards a More Efficient Bias Detection in Financial Language Models,” was accepted at the ICLR 2026 Workshop on Advances in Financial AI (AFA) and examines whether bias audits can be made ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Learning French, reading the latest Andy Weir novel, hanging out with friends for St. Patrick's Day - language is central to all these everyday activities. Seemingly effortless from childhood, ...