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.

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 ...

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

The logic behind many fintech companies’ automated decisions — decisions that determine whether a customer is approved for a credit line, for example — is hard-coded into their app’s backend. This ...

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

Information Overload and Delayed Decision-Making Traditional meteorological data services face numerous challenges, including complex information and passive forecasting models, making it difficult to ...

Bureaucratic theory, shaped by Max Weber, stresses order, hierarchy, and administrative expertise. The entry of AI into governance raises pressing questions about whether algorithmic decision-making ...

Have you made a decision you regret? Or have you felt stuck making an important choice? We’ve all had those feelings. Making a decision, especially an important one, shouldn't be done impulsively or ...