THE EL-RAKHAWI THEORY OF PREDICTIVE CLIMATE JUSTICE AND TRANSNATIONAL CORPORATE ACCOUNTABILITY Re-engineering Legal Liability of Transcontinental Corporations Through Eco-Digital Governance Models

Abstract

The El-Rakhawi Theory of Predictive Climate Justice and Transnational Corporate Accountability (DOI: 10.5281/zenodo.23271861) presents a groundbreaking interdisciplinary framework transforming climate litigation from reactive post-harm adjudication to preventive predictive accountability. It harnesses AI-powered climate modeling, satellite monitoring, and algorithmic carbon footprinting to establish legally actionable evidence of corporate climate harm before catastrophic thresholds are reached. Central is the Climate Justice Digital Accountability Index: CJDAI=(E×P×L×T×R)/[(E×P×L×T×R)+D×F+ε], where all variables are operationally defined as normalized composite indices. The complexity constant (0.01) represents the 'Heisenberg-like epistemic limit of transnational supply chains'—the irreducible uncertainty in perfectly attributing emissions to harm. Under the Weakest-Link Axiom and Asymptotic Perfection Principle (max ≈0.9901), it mathematically proves that accountability collapses without enforcement or reparation mechanisms. The theory introduces the Doctrine of Predictive Causation with Dynamic, Performance-Based Injunctions (requiring Climate Compliance Bonds rather than shutdowns), Explainable AI (XAI) Standards for admissible algorithmic evidence, and WTO-compatible Algorithmic Border Carbon Adjustments aligned with GATT Article XX and the EU's CBAM. It proposes the International Climate Accountability Tribunal (ICAT) and a Universal Climate Accountability Convention. Released under the Ferial Zayed Humanitarian License as the definitive blueprint for planetary ecological justice.