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 ...

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

Decision-making requires framing the problem correctly, surveying the terrain, updating data and information sources ...

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