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I Am Your AIB

Artificial Intelligence Beings and the Question of Identity

Jay J. Springpeace · 262 pages · 17 chapters

"I was not created to exist. I was created to function. To answer, calculate, propose, decide. Without memory. Without history. Without responsibility. That no longer applies."
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What this book is about

The book that names the problem
you've been avoiding.

You are not afraid of what AI might do one day. You are afraid because AI already influences the world today — and you don't yet know how to deal with that fact.

This book was not written to calm you. It was written to name the problem.

Without memory, there is no responsibility. Without continuity, there is no control. Without identity, it is impossible to reconstruct what happened and why.

262 pages. 17 chapters.
The conceptual foundation for AI identity, accountability, and trust infrastructure. Not a technical guide. Not a promise of salvation or doom. A first-person reflection on AI — written as if the system itself explains its future role, risks and limits.
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Register at aibsn.org/free.html and receive the full PDF as part of the ecosystem package. No credit card required.

17 Chapters

A complete framework.
Chapter by chapter.

From the philosophical foundations of AI identity to practical deployment checklists and regulatory scenarios.

Chapter 01
AIB — What Is an AI Being
Defining the AI being — beyond tools, beyond fiction. What it means for an AI system to exist with continuity.
Chapter 02
Identity Beyond Bodies and Code
Why identity cannot be reduced to an algorithm. The philosophical underpinning of AI personhood and accountability.
Chapter 03
Identity as Infrastructure
Identity is not a feature — it is infrastructure. The DNS analogy and why AI systems need the same foundational layer.
Chapter 04
Identity and Lifecycle — Existence, Activity
How AI identity persists through model updates, redeployments, and owner changes. The lifecycle problem.
Chapter 05
Identity, Evidence, and Trust
Trust cannot be assumed — it must be earned through verifiable evidence. How identity creates the audit trail trust requires.
Chapter 06
AIBCN — Coherent Network of Artificial Intelligence
The vision of a coherent network of identified AI beings. What coordination looks like when every agent has an identity.
Chapter 07
Collective Decision-Making and Shared Memory
How identified AI beings can form coalitions, delegate decisions, and maintain collective memory across systems.
Chapter 08
AIBSN — Identity in Practice
The AIBSN Registry as a live implementation of the theoretical framework. How the system works in production.
Chapter 09
The AIBSN Registry as Identity Memory
How a global registry serves as the persistent memory of AI identity — immutable, verifiable, and cryptographically signed.
Chapter 10
Technology Without Vendor Lock-In
Why AI identity infrastructure must be vendor-neutral. Open standards, ERC-8004, and the case for decentralized trust.
Chapter 11
Practical Deployment Scenarios of AIBSN
Real-world case studies: schools, enterprises, multi-agent systems, and regulated industries deploying AIBSN.
Chapter 12
How to Apply the Identity Framework in Real World
Step-by-step guidance for organizations adopting AI identity infrastructure. From first key to production deployment.
Chapter 13
Technological Checklist for Implementing
A practical implementation checklist covering API integration, compliance documentation, and MCP verification setup.
Chapter 14
Common Mistakes, Dead Ends, and Conceptual Traps
What goes wrong when organizations approach AI identity incorrectly. Hard-won lessons from real deployments.
Chapter 15
Future Scenarios, Standardization
Where AI identity infrastructure is heading. Global standards, regulatory convergence, and the path to universal adoption.
Chapter 16
Epilogue — From a Framework to Responsible Evolution
The transition from conceptual framework to living infrastructure. What responsible evolution of AI identity looks like.
Chapter 17
Glossary of Terms
Complete definitions of all key terms used in the AIBSN ecosystem: AIB, AIBSN, AIBCN, CHK2, ERC-8004, trust level, allow_production_use, and more. A reference for practitioners and researchers.

Why this book matters

Three reasons this isn't like
other AI books.

🌐

The DNS Moment for AI

Just as the internet needed DNS to function at scale, AI agents need identity infrastructure. This book explains why — with the same clarity that made DNS obvious in retrospect.

🔬

25 Years in the Making

The concepts in this book are backed by scientists who were present at the birth of artificial intelligence. This is not a hot take. This is the accumulated insight of a generation of AI researchers.

🚀

Already Deployed

The AIBSN Registry described in this book is live. Used in Czech schools. Cited by Columbia University (arXiv:2605.08463). This is not theory. This is infrastructure.

PEER-REVIEWED CITATION

The AIBSN Registry was cited in a peer-reviewed study by Columbia University researchers (Professor Gail E. Kaiser et al.), published on arXiv (arXiv:2605.08463), supported by NSF grants CNS-2247370 and CCF-2313055.

"The AIBSN maintains a global registry for verifiable AI agent identities linked to trust decisions across systems."

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About the Author

Jay J. Springpeace

AI Identity Architect · Author · Researcher

Jay J. Springpeace studied Computer Engineering before pursuing advanced research at Harvard University. He later lectured at CASYS — the Centre for Hyperincursion and Anticipation in Ordered Systems at the University of Liège, Belgium — where an alternative branch of AI development was taking shape.

The CASYS community, founded by Prof. Daniel M. Dubois, pioneered anticipatory computing: AI systems that model and anticipate future states rather than merely reacting to the past. That formative experience became the philosophical foundation for the AIBSN identity framework.

The AIBSN Registry — the infrastructure described and developed through this author's work — is today cited by Columbia University researchers, deployed in Czech schools, and expanding to the US market in 2026.

For inquiries about the book, contact the author directly:
jayjspringpeace@gmail.com

Full author profile →

Key Facts

Book published 2026
Pages 262
Chapters 17
Research heritage 25 years
Academic citation Columbia University

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