Dalio stated that if he fed his criteria and principles for making a decision into an algorithm and equations, after aligning ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...

Have you ever wondered how artificial intelligence seems to “think”? Whether it’s crafting a poem, answering a tricky question, or helping with a complex task, AI thought process systems—especially ...

Causal AI is redefining decision intelligence, offering deeper insights and more precise enterprise decision-making than ever before. Enterprises struggle to leverage AI for critical decisions.

The Editors at Communications Psychology invite submissions on the topic of AI and Human Decision Making. Recent developments in AI, in particular the abilities of Large Language Models (LLMs), have ...

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...

Opinions expressed by Entrepreneur contributors are their own. As a leader in your organization, you might as well be called “chief problem-solver.” But if you’re like most leaders, you might feel ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. Today, every company is looking at data and analytics to ...

The problem, Zaaijer explained, is that algorithms used in precision medicine models overwhelming are built on DNA with ...