You work in the AI systems administration department of Company A. A post was recently made on SaidIT looks like a malfunction of an agent: It is in gibberish and in a forum that appears random. Your job is to track down why this post occurred and suggest a remedy to the situation.
The anomalous posting was sent to SaidIt by John Windward on May 17, 2046 at 4:21am.
The agentic system is complex and has many automated behaviors in it. Nobody has taken the time to map out the whole system. Nobody knows all of the interactions that are possible or are being used. The overall goal is to understand what is actually present. As with any complex system, the first step is to map out the activity and develop a baseline, then compare that to the specific system behavior of interest and finally to suggest what might be done to prevent future issues.
Build a visual analytics system that integrates visuals with algorithms to enable interactive exploration and documentation of the multi-agent system!
How was the anomalous SaidIT posts made? Build a visual tool that describes the sequence of events that led up to the post. Include people and system interactions that were important to the post being made.
Provide a detailed view that focuses on the exact chain of events for this message of interest.
Provide a system overview that contextualizes this message chain in that overall system.
What do the posts “mean”? What is the origin of their contents? Illustrate the reasoning behind your assertion of their meaning as well as the probable content.
There are concerns that this behavior could repeat!
Investigate historic system behavior to find other instances of the behavior. Are there prior issues? Illustrate these prior occurrences and contrast them with the most recent one.
Illustrate possible system changes that would make it more difficult to occur in the future. Pick at most one spots to make an intervention. Using the data provided and visual analytics, illustrate why this location would likely be effective.