Functional Intentionality Test: Measuring AI Goal-Directed Behavior
A new arXiv preprint defines intentionality for AI systems as a behavioral profile—not consciousness—based on purpose, foresight, volition, temporal commitment, and coherence. The authors argue these properties are design-contingent, shaped by architectural choices like memory persistence and planning depth. They introduce the Functional Intentionality Test (FIT), a multidimensional framework to quantify intentional-like behavior across five observable dimensions. The paper positions this as a tool for governance and accountability, enabling detection of autonomous, goal-directed behavior in AI.
Key facts
- arXiv:2605.05475v1
- Announce Type: new
- Defines intentionality as a behavioral profile, not consciousness
- Five criteria: purpose, foresight, volition, temporal commitment, coherence
- Intentionality is design-contingent and controllable
- Introduces Functional Intentionality Test (FIT)
- FIT quantifies intentional-like behavior across five dimensions
- Aimed at governance and accountability
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