International AI Governance & Ethics Authority
Frameworks & Guidelines

The IAGEA Global Governance Framework

IAGEA provides the world’s most comprehensive, multi-layered framework for AI oversight. Our standards are designed to be interoperable with the EU AI Act, NIST (USA), and UNESCO guidelines, serving as a universal bridge for global compliance.

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FOUR PILLARS

Pillar 1: Algorithmic Accountability & Audit (AAA)

Ensuring every automated decision has a traceable "paper trail." IAGEA-ST-01 (Explainability).

Pillar 1: Algorithmic Accountability & Audit (AAA)

Organizations must provide "Legible Logic" reports—plain-language explanations of how high-stakes AI models (in banking, hiring, or healthcare) reach their conclusions.

Pillar 3: Human-in-the-Loop (HITL) Safety Protocols

Preventing "Autonomous Drift" where systems act without oversight. IAGEA-ST-03 (Override Authority).

Pillar 3: Human-in-the-Loop (HITL) Safety Protocols

Mandatory "Emergency Kill-Switches" and human verification steps for any AI system controlling physical infrastructure or lethal technology.

Pillar 2: Data Sovereignty & Privacy Protection (DSPP)

Protecting citizen data from cross-border exploitation. IAGEA-ST-02 (Secure Handling).

Pillar 2: Data Sovereignty & Privacy Protection (DSPP)

Implementation of Federated Learning and Differential Privacy protocols to ensure AI models learn from data without ever "seeing" or storing sensitive personal identifiers.

Pillar 4: Bias Mitigation & Cultural Alignment (BMCA)

Ensuring AI doesn't inherit historical prejudices. IAGEA-ST-04 (Equity Testing).

Pillar 4: Bias Mitigation & Cultural Alignment (BMCA)

"Stress-Testing" for bias against gender, race, and local cultural norms, specifically tailored for the diverse demographics of the Global South.

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