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.

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

This integration bridges the gap between intuition and information, creating a decision making model that is both human and data-driven.

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 model predicted, for example, that decision-making groups have a critical threshold of people who get their information from others. Below that threshold, the group chooses the high-quality ...

Researchers have developed a computational framework that maps how the striosomal compartment of the striatum governs everyday decision-making.

Each of these examples illustrates the cycle of asking questions, collecting multiple data sources, analyzing with care, applying human insight, and evaluating the results. Data-informed ...

Takeaway Points Communicating effectively about predictive models and their equity implications is critical for (1) informed decision-making and (2) preventing potential harms to patients. In this ...

No decision-making process can guarantee that you’ll never make a mistake, but a more systematic approach can help you avoid impulsive choices that you’re more likely to regret.