In today’s fast-paced business environment, making well-informed decisions quickly is a crucial skill for leaders. Understanding different models of decision-making can provide you with the tools to ...

Transparency and explainability are only way organizations can trust autonomous AI.

To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Emergent large language models (LLMs) such ...

Appier today announced new research advancing the reliability of Agentic AI systems. To expand the impact of its research and ...

The field of decision making has long captured the interest of researchers seeking to understand how cognitive processes underpin everyday choices. Contemporary studies reveal that decision-making ...

Handler, Abram; Larsen, Kai R.; Hackathorn, Richard. Large language models present new questions for decision support. International Journal of Information Management ...

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 ...

Every one of us make dozens, if not hundreds of small to big decisions on a daily basis. Some don’t impact our lives at all, while some can change the outcome of our entire lives. Whether it’s trying ...

Have you ever wondered how artificial intelligence seems to “think”? Whether it’s crafting a poem, answering a tricky question, or helping with a complex task, AI thought process systems—especially ...

Graph models have emerged as a pivotal framework in the analysis of strategic conflicts and the development of decision support systems. These models represent conflicts as networks, where nodes ...

A Global Grand Challenges case study reveals the potential of large language models (LLMs) to close health gaps in South Asia ...