Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.

AI agents are moving far beyond routine automation, and they are now shaping business management and leadership decisions.

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

To account for that, we must incorporate explicit engagement of the broader community into a shared decision-making approach. With those caveats in mind, I offer the following model for the practical ...

Key market opportunities in the Agentic AI sector are driven by rising demand for autonomous decision-making across industries like finance, healthcare, and manufacturing. Challenges in transparency ...

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making.