In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

Then, AI arrived everywhere at once. Suddenly, the hardest questions in the boardroom are no longer “Did we follow the ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

As researchers face mounting regulatory complexity, expanding research portfolios, and persistent resource constraints, compliance teams are increasingly turning to AI to move faster and gain better ...

MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...

Agentic AI is changing the enterprise security model. Experts explain emerging risks, governance challenges and how leaders ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects consistent across viewing angles.

Enterprise IT teams are losing the battle against modern application failures. The problem isn’t a lack of monitoring tools. It’s that the tools they rely on were built for an infrastructure era that ...