Deciding what to do in situations when there is no right answer is an unenviable challenge for any leader. Doing it in a matter of seconds under the pressure of a rapidly changing scenario — like a ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...

Think for a moment about how an organization makes a decision. First come the facts, the data that will inform the decision. Using these facts, someone formulates alternative courses of action and ...

It contains two main parts: fNIRS risk detection and fNIRS integrated reinforcement learning (RL). The first part covers real-time pre-processing, feature extraction, and classification models. The ...

In a small, highly aligned team, collective decision making can be efficient. But as an organization scales up, consensus-driven business decision making becomes a bottleneck. In the modern workforce, ...

"It’s not personal, it’s business." That phrase might as well have been a lullaby for generations of executives who slept soundly through the ethical consequences of their decisions. For decades, it ...