Quantitative results show that only a small fraction of possible pathways linking AI outputs to decision mechanisms are actively implemented. In many cases, the majority of these pathways remain ...
Technology moves fast. Businesses are used to adapting to new technological trends to expand their reach and capability, but the pace of change we are experiencing at the moment is unprecedented. In ...
Decision neuroscience explores the neural underpinnings of how individuals and groups make choices, integrating perspectives from cognitive neuroscience, ...
Robust, deployable and collaborative machine learning (ML) methods are needed for AI to become truly useful. This ERC-funded research aims to solve a major ML bottleneck and will form a cornerstone of ...
Despite the recent announcement from the Department of Defense (DoD), I posit that Artificial Intelligence (AI) cannot replace the critical human factor in leadership decision-making. The Hill ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
This simple practice had a profound impact on an executive team's ability to make more effective and sustainable decisions. Please read on. It may well be equally useful for you. Here's the backstory: ...
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