Embodied Biographical Alignment (EBA): A Developmental Alignment Hypothesis Based on Embodiment, Biography, Finitude, and Experience Integration

Embodied Biographical Alignment (EBA) is a conceptual research proposal for advanced AI alignment based on embodiment, temporally extended biography, finitude, autobiographical memory, and transformative experience integration. EBA asks whether advanced AI systems might acquire a more robust understanding of human values from aggregated finite lives rather than from descriptions of human values alone. The proposed architecture uses multiple autonomous embodied biographical agents that undergo diverse, bounded life trajectories involving relationships, irreversible consequences, memory development, and controlled cognitive aging. A central distinction is that biographical integration must be transformative rather than archival: the target source system should not merely retrieve stored biographies, but undergo persistent internal change as a consequence of their integration. The proposal therefore distinguishes integration from retrieval and outlines experimental controls and ablations for testing this hypothesis without assuming artificial consciousness or subjective experience. The paper also introduces the problem of alignment to a moving humanity: human values are expressed within technological, biological, and social conditions that may themselves change, requiring alignment architectures capable of subsequent biographical updating rather than permanent value lock-in. EBA is presented as a falsifiable developmental alignment hypothesis and research program, not as a demonstrated solution to AI alignment. Prior-art corrections are welcome. The author welcomes references to relevant prior work that may have been missed and corrections concerning the relationship between EBA and existing alignment, embodied-AI, developmental-learning, autobiographical-memory, and finitude research.