mlsanityData to 14 Oct 2026

Promoting Critical Thinking With Domain-Specific Generative AI Provocations

arXiv 2603.19975 ↗First posted 20 Mar 2026cs.HC cs.AIcited by 0

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Abstract (arXiv)

The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some argue that AI-driven provocations, such as questions asking for human clarification and justification, are beneficial for eliciting critical thinking. Drawing on our experience designing and evaluating two GenAI-powered tools for knowledge work, ArtBot in the domain of fine art interpretation and Privy in the domain of AI privacy, we reflect on how design decisions shape the form and effectiveness of such provocations. Our observations and user feedback suggest that domain-specific provocations, implemented through productive friction and interactions that depend on user contribution, can meaningfully support critical thinking. We present participant experiences with both prototypes and discuss how supporting critical thinking may require moving beyond static provocations toward approaches that adapt to user preferences and levels of expertise.

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References · 10

  1. 2023Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizescited by 737
  2. 2025Small Language Models are the Future of Agentic AIcited by 270
  3. 2025Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Taskcited by 106
  4. 2022Interactive Model Cards: A Human-Centered Approach to Model Documentationcited by 61
  5. 2023Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Riskscited by 31
  6. 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototypingcited by 28
  7. 2022Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systemscited by 8
  8. 2020Towards evaluating and eliciting high-quality documentation for intelligent systemscited by 7
  9. 2024Language Models as Critical Thinking Tools: A Case Study of Philosopherscited by 6
  10. 2025Towards Harnessing the Collaborative Power of Large and Small Models for Domain Taskscited by 4

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