The risks of letting AI direct conversations
- 2 hours ago
- 1 min read
As “agentic” features rapidly evolve, the criticality of questions isn’t limited to the interaction between user and model.
Agentic AI involves semi-autonomous systems that act as if they are reasoning; they can draft plans to execute pre-defined tasks, evaluate the outcome of their tasks, make goal-directed decisions, and take actions to achieve those goals. They achieve these tasks by asking themselves questions.
Therefore, understanding the models’ questioning styles can help business leaders interpret and evaluate the recommendations they receive.
This article provides evidence that LLMs use different types of questions than humans and that no consistent pattern exists across the models we tested. Therefore, we recommend that managers mindfully adapt their use of these systems, especially in a decision-making context, and we propose avenues to help them do so.
Read the full story | HARVARD BUSINESS REVIEW
