---
type: entity
entity_type: person
name: Gilad Abiri
domain: grand-strategy
status: active
tags: [ai-governance, mutually-assured-deregulation, academic, researcher]
---

# Gilad Abiri

Academic researcher who formalized the "Mutually Assured Deregulation" (MAD) framework for AI governance.

## Key Contributions

**Mutually Assured Deregulation Framework (2025-2026):** First to formally name and theorize the prisoner's dilemma mechanism in AI governance where states minimize regulatory constraints to outrun adversaries, creating collective vulnerability. The framework explains how the "Regulation Sacrifice" view converts governance from cooperation to competitive race.

## Publications

- **Mutually Assured Deregulation** (arXiv:2508.12300, SSRN abstract_id=5394963) — Formal academic paper introducing the MAD concept and analyzing its operation across national, institutional, corporate, and individual governance levels.

## Timeline

- **2025-08** — Published "Mutually Assured Deregulation" on arXiv (2508.12300)
- **2026-04** — Paper discovered and cited in TeleoHumanity KB session 04-14, providing theoretical grounding for empirically-documented governance failures