Transparency and explainability are only way organizations can trust autonomous AI.

OpenAI today published a research paper that outlines a new way to improve the clarity and explainability of responses from generative artificial intelligence models. The approach is designed to ...

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.

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 ...

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 ...

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...

In this contributed article, editorial consultant Jelani Harper discusses how the ModelOps movement either directly or indirectly addresses each of the following three potential barriers to cognitive ...