Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

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 ...

We live in a data-centric world, with artificial intelligence (AI) as the engine that increasingly drives decision-making. Companies and government agencies all seek to make smarter decisions, often ...

A recent study finds that while generative AI (GenAI) can help define viable objectives for organizational and policy ...

Optimization. Efficiency. Data-driven decisions. If I had a nickel for every time I hear these words from founders I’d be long retired. And yet, the process involved in achieving resource optimization ...

In a large group of independent decision-makers, those who reach a decision most quickly also tend to be those with the strongest initial biases. The finding comes from a mathematical model of ...

The walk sign lights up, and you’re ready to step off the curb when you hear the blare of an ambulance siren—or the sound of kids screaming, or even some leaves rustling in the wind. How do you make a ...

As a leader, you make decisions all the time. But do you operate from a consciously created decision-making model? I offer you the model my partner and I developed in our internationally acclaimed ...

From small committees to national elections, group decision-making can be complicated -- and it may not always settle on the best choice. That's partly because some members of the group do research on ...

Effective planning and decision making constitutes a cornerstone not only in engineering and strategic business management but also in organisational and public policy environments. This field ...