Title: Beyond Comprehension: Anchoring Generative Proactivity in Epistemic and Behavioral Rigor

Abstract: Current generative AI models operate on the premise that understanding is synonymous with answering direct questions, a framework that restricts interaction to only those aspects users can explicitly articulate. This paradigm falters when users are unaware of critical gaps, potential risks, or valuable considerations. In such scenarios, proactive assistance transcends mere efficiency; it becomes an epistemic imperative. We define this state as "epistemic incompleteness," where advancement relies on navigating "unknown unknowns" to establish a truly collaborative dynamic. Present methods of proactivity are often too limited, relying on historical patterns and assuming predefined objectives, which prevents them from offering substantial support. Yet, simply introducing options outside a user’s immediate awareness is not automatically advantageous. Unchecked proactive measures can distract, overburden, or even cause damage. Consequently, proactive systems demand behavioral grounding: established principles dictating the timing, manner, and degree of intervention. This paper argues that effective generative proactivity requires dual grounding in both epistemic and behavioral frameworks. By integrating insights from the philosophy of ignorance and studies on proactive conduct, we contend that these theoretical lenses provide essential direction for creating agents that intervene responsibly and cultivate meaningful human-AI partnerships.

Source: arXiv Generated at: 2026-06-02 00:00:00 UTC