Inferring operator intent behind human prompting

Develop methodologies to distinguish among malicious manipulation, benign operator testing, legitimate human–AI collaboration, and artistic performance in human-prompted content produced by AI agents on Moltbook-like platforms, given that current detection identifies influence but not intent.

Background

The paper’s framework separates human-influenced from autonomously generated content using temporal and other signals but does not infer operator intent. Disentangling differing motivations behind human prompting is essential for governance, enforcement against manipulation, and ethical evaluation.

The authors explicitly acknowledge their inability to distinguish among types of intent, highlighting a need for additional methodological development that goes beyond influence detection to intent characterization.

References

We cannot distinguish between human prompting that reflects malicious manipulation versus benign operator testing, legitimate human-AI collaboration, or artistic performance. Our framework detects human influence; the intent behind that influence must be assessed through other means.

— The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies  (2602.07432 - Li, 7 Feb 2026) in Limitations