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 ...

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 ...

Artificial Intelligence, Perceived Objectivity, Decision Authority, Human Resource Management, Algorithmic Governance, ...

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 ...