Banks rush into generative AI, but unresolved governance, liability, and explainability risks threaten financial certainty.

The Flash Crash remains a reminder of what happens when automated systems act faster than humans can interpret—and when the ...

As AI adoption accelerates faster than regulation, Alexander Schlager of Aiceberg.ai argues that transparent, explainable AI ...

A new study published in Education Sciences focuses on this growing disconnect. Titled "Designing Understandable and Fair AI ...

Explainability-driven data resilience, the glue that binds these elements together, needs to become as standardized as audited financial statements, hitting metrics for key stakeholders that include: ...

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 ...

AI systems seem like an exciting, effective new tool. But, as we have seen with Google’s recent struggles with accuracy, and Microsoft’s trouble with sentient, unhinged chat bots, not all of the kinks ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

We have built financial systems that exceed human comprehension, then dressed them in the language of transparency. The ...

CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University. Automation: A word that simultaneously evokes technological and ...