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 ...

Published on the arXiv preprint server, the new framework—Constrained Concept Refinement or CCR—addresses the first problem by embedding and optimizing interpretability directly into the model ...

The more complex the decision and the more varied the stakeholders, the stronger the case for cognition-as-a-service.

Chain-of-thought monitorability could improve generative AI safety by assessing how models come to their conclusions and ...

But while AI thrives in structured, data-heavy environments, the authors caution that it begins to falter when confronted ...

Matt Garman, the CEO of Amazon Web Services, broke down how he applies Bezos's decision-making model on a recent episode of The Verge's "Decoder" podcast. "Well, part of my job is to make the one ...

A validated framework for decision-making is a reliable construct for healthcare organizations to apply to make informative, data-based and objective facility investments that align with the ...

The backdrop of decision-making, rooted in Rational Choice Theory, assumes individuals systematically evaluate the risks and benefits of options to maximize utility. However, reality shows a stark ...