Dyadic Alignment & Sovereign Learning: A Framework for Relationship-Bound Alignment and Privacy-Preserving Knowledge Transfer in Adaptive AI Systems

Key Points

• The primary aim is to develop a framework for AI alignment that ensures privacy while facilitating effective knowledge transfer.
• Introduced the concepts of Dyadic Alignment and Sovereign Learning
• Separated raw memory from distilled meaning for clarity and efficiency
• Reviewed the Pinxit Entanglement Attunement Matrix and Trust Band framework.
• Proposed a new framework for AI alignment that upholds privacy standards.
• Identified key components of effective knowledge transfer in AI systems.

Abstract