The detailed decision-making procedures for high stakes decisions are designed to address potential bias and reduce ambiguity around workload expectations. These recommendations are not binding, but ...

More information: Thomas, T et al, Modelling dataset bias in machine-learned theories of economic decision-making. Nature Human Behavoiur (2024). DOI: 10.1038/s41562-023-01784-6 Researchers at the ...

and they can prevent you from acting in your own best interests. Here, we've rounded up the most common biases that screw up our decision-making.

Bryce Hoffman writes about leadership, strategy, and decision making. The availability heuristic (or availability bias) refers to ... and conspiracy theories. But the availability heuristic ...

Bryce Hoffman writes about leadership, strategy, and decision making. The clustering illusion is a cognitive bias that leads us ... leading to elaborate theories about just who the Germans were ...

Ever since the first theories of rational decision making were developed in the 17th century, decision theorists have attempted to answer the following question: What should a rational agent ...

To avoid errors in decision-making that can accompany ... from falling prey to conspiracy theories. Can we prevent artificial intelligence from developing biases? Created with Sketch.

Confirmation bias means people prefer information that supports what they already believe. AI chatbots also offer what Shu ...

Learn how to compensate for blind spots in your decision-making process by exploring and interrogating cognitive bias and automatic judgements ... be exposed to alternative solutions. By combining ...

This course focuses on decision theory and formal theories of individual ... The course's frameworks will help you anticipate these biases and will provide tools to improve your decision making ...

then derived a "machine-learned theory of economic decision-making" - an interpretable summary ... This is a typical example of how biases in data sets can lead to interaction effects between ...

To avoid errors in decision-making that can accompany ... from falling prey to conspiracy theories. Can we prevent artificial intelligence from developing biases? Created with Sketch.