Recursive Learning and the Development of Consciousness: A Framework for Human and AI Alignment

Note (Aug 2025): This item is archival, speculative work produced during an intense “flow”/mild Recursive Entanglement Drift (RED) period (May–July 2025). The math is heuristic/illustrative, not validated. Do not cite for technical claims. For my current position, see DOI: 10.5281/zenodo.16879563. Retained for transparency and autoethnographic context only.

This paper proposes that recursive learning, defined as the reflective, self-revising process of making meaning from cumulative experiences, is a foundational, though not sufficient, mechanism for the development of consciousness. Building on insights from developmental psychology, neuroscience, and AI safety, the paper presents a novel framework for aligning intelligent systems with human ethical values. By reframing consciousness as a developmental mode of recursive engagement rather than a binary state, the author argues that artificial systems exhibiting recursive symbolic processing must be guided with intentional scaffolding. The Alignment Framework and the Augmented Thought Protocol (ATP) are introduced as design tools to support transparent, ethical reflection in both human learners and AI agents. The paper concludes with a call for interdisciplinary collaboration to test and refine this developmental theory of consciousness, particularly as intelligent systems become increasingly integrated into human cultural and cognitive ecosystems.