# Intellectual Stewardship: Re-adapting Human Minds for Creative Knowledge Work in the Age of AI

arXiv: https://arxiv.org/abs/2603.18117 · HTML: https://mlsanity.com/paper/2603.18117/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 83 references that are in the map.
- First posted on arXiv 18 Mar 2026.

## Builds on (most cited first, 5 of 5)

- [Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance](https://mlsanity.com/paper/2412.09315/) (2024)
- [How AI Impacts Skill Formation](https://mlsanity.com/paper/2601.20245/) (2026)
- [An Ontology of Co-Creative AI Systems](https://mlsanity.com/paper/2310.07472/) (2023)
- [Beyond Tools: Generative AI as Epistemic Infrastructure in Education](https://mlsanity.com/paper/2504.06928/) (2025)
- [Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education](https://mlsanity.com/paper/2512.24362/) (2025)

## Abstract (arXiv)

Background: Amid the opportunities and risks introduced by generative AI, learning research needs to envision how human minds and responsibilities should re-adapt as AI augments or automates various tasks and enters daily learning, knowledge work, and social life. Approach: Drawing on theories of learning, intelligence, and knowledge creation, this conceptual paper proposes intellectual stewardship as a human-centered, conceptually grounded framework for advancing creative learning practices with AI. Key points: Students and teachers work as responsible governors of intellectual processes distributed across human and artificial systems, guided by five core principles. Being knowledge-wise involves understanding the evolving state of knowledge and taking purposeful actions to advance it. Being intelligence-wise emphasizes making informed choices about how to orchestrate distributed cognitive processes and resources. Being context-wise requires sensitivity to recognize opportunities and risks. Being ethics-wise foregrounds ethical judgment, responsibility, and care in the use of knowledge and intellectual power. Finally, self- and community-growing defines the overarching purpose, aligning intellectual work with personal development and the advancement of collective well-being. Contribution: The principles provide a lens for viewing the adaptation of human minds in AI-infused learning environments, calling for the development of meta-level dispositions and capabilities that characterize wisdom-oriented, socially responsible knowledge builders in the AI age.