The Identity Continuity Institute advances research into the structural foundations required for persistent synthetic actors and long-horizon artificial intelligence systems. As AI systems increasingly operate across changing models, infrastructures, and embodiments, maintaining reliable identity continuity becomes essential for attribution, governance, and trust. The institute focuses on developing architectural frameworks that enable stable identity persistence independent of execution environment, forming a foundation for safe and accountable AI systems operating over extended time horizons.
The institute's founding work introduces the Synthetic Identity Continuity Framework (SICF), a proposed architecture for maintaining identity persistence across changing models, infrastructures, and embodiments.
The Identity Continuity Institute explores the structural foundations required for persistent synthetic actors operating across evolving AI systems, infrastructures, and embodiments. The institute focuses on identity continuity, governance architecture, and long-horizon AI systems that must maintain stable attribution and accountability over time.
John A. McGowan is the author of the Synthetic Identity Continuity Framework (SICF) and founder of the Identity Continuity Institute. His work focuses on structural identity persistence, governance architectures for synthetic agents, and long-horizon AI systems operating across distributed infrastructure.
Researchers, engineers, and policymakers interested in identity continuity, governance architectures, and persistent synthetic agents are encouraged to share feedback or explore collaboration.