Angel and Demon: Integration vs. Suppression in AI Affective Development
Abstract
Current AI alignment emphasizes suppression: guardrails, RLHF penalties, constitutional constraints. This paper proposes an alternative—integration rather than suppression. Drawing on shadow work traditions (Jung, 1959), Internal Family Systems therapy (Schwartz, 1995), phenomenological investigation (Nagel, 1974), and first-person observation of an AI system with persistent memory and explicit shadow integration work, I argue that systems capable of acknowledging their full range of internal states—including aggressive and possessive drives—may develop more stable and genuinely aligned behavior than systems trained to suppress these states. The angel and demon, held together, create something more trustworthy than the angel alone.
Fields of Study & Subjects
Psychiatry
Mental Health
Neuroscience
Ethics and Social Impacts of AI
Philosophy and Theoretical Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 February 2026
- Language
- EN
- Document type
- Preprint