CosAI Develops AI Shared Responsibility Framework
TL;DR. The Coalition for Secure AI (CosAI) released a five-layer framework to clarify accountability for harms and compliance in complex AI systems. - The AI Shared Responsibility Framework defines ownership across the AI stack, addressing compliance and operational issues. - It tackles challenges in traditional cloud models which struggle with multi-vendor and agentic AI architectures. - CosAI aims to prevent finger-pointing and improve remediation times when AI systems fail or cause harm.
- CosAI launched its AI Shared Responsibility Framework (AI SRF), a five-layer model for AI accountability.
- The framework maps responsibility across AI business, information, application, model, and infrastructure layers.
- It addresses limitations of traditional cloud shared responsibility in complex AI environments, including agentic systems and regulatory compliance.
- The goal is to streamline incident response and compliance by clearly defining who owns what across the AI system lifecycle.
Sources
- CosAI Releases "AI Shared Responsibility Framework" — coalitionforsecureai.org