Position paper exploring "Generative Refusal" — AI tools that strategically withhold text generation to demand user articulation, functioning as a Maieutic Partner rather than a cognitive offloading tool. Argues that in domains where the labor of articulation is central to craft, AI should enhance rather than bypass human cognition.
Key Findings
The paper critiques current GenAI design paradigms that prioritize cognitive offloading — generating text on the user's behalf — which risks eroding the constructive thought process essential to artistic training.It proposes Generative Refusal: strategically withholding text generation to demand user articulation, positioning AI as a Maieutic Partner that returns cognitive friction to the user and shifts the interaction from delegation to active articulation.The framework is instantiated in Actor's Note, a character-journaling tool for actor training that generates context-aware questions instead of draft text.A field study of Actor's Note suggests the constraint significantly reduced cognitive burden while fostering a residual effect of internalized questioning habits.The motivating context is character journaling — a foundational tool for thought in actor training that is valuable but hard to sustain: actors frequently abandon it not from lack of material but because the high cognitive load of initiating reflection after exhausting rehearsals creates a barrier, often manifesting as the "blank page" problem.The Maieutic Interaction Framework
Instead of bypassing cognition, the Maieutic Interaction Framework returns cognitive friction to the user: the system withholds drafts and generates questions that prompt reflection, inverting the efficiency-oriented default in which generative tools write for users. For creativity support and Writing Education, the framework suggests that the absence of generated text can be a deliberate design feature rather than a deficiency, protecting the constructive thought process that the labor of articulation is meant to build.
Implications for AI in Education
The position paper generalizes beyond theater: wherever the labor of articulation is the point of the learning activity, AI tools should be designed to protect human cognition against "the tendency of generative efficiency." This connects directly to Cognitive Offloading and Over Reliance concerns in education — if tools always complete the writing, students lose the constructive thought process the task was designed to build — and supports Scaffolding designs in which AI prompts, questions, and withholds rather than completes.
Connected Concepts
Over RelianceCognitive OffloadingScaffoldingOpen SourceWriting EducationReducing AI MisuseMath EducationCreativityConnected Articles
Veriforge Narrative Drafting Scaffolding 2026 — VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative ScaffoldingAI Tools Arab English Classrooms — AI tools in Arab University English classrooms: Looking back and forwardGenerative AI Guardrails Harm Learning — Generative AI without guardrails can harm learning: Evidence from high school mathematicsAgency Gap AI Writing — The agency gap in AI-supported writing: how reactive and proactive agent designs shape multimodal reasoningGenAI Performance Vs Learning — Distinguishing performance gains from learning when using generative AILearning By Chatting GenAI Impact — Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and LearningCitation
Sora Kang (2026). Stop Writing for Me: Generative Refusal in AI Tools for Thought. arXiv:2607.24751. cs.HC.