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 ...

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 ...

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

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As artificial intelligence revolutionizes the business world, a more subtle but equally ...