Definition ∞ An AI Governance Layer establishes frameworks and rules for artificial intelligence systems. Within decentralized digital asset ecosystems, this layer refers to the mechanisms that guide the development, deployment, and operation of AI agents or algorithms. Its purpose is to ensure accountability, transparency, and ethical alignment of autonomous systems interacting with or managing blockchain protocols and digital economies. This structure helps manage potential risks and biases while maintaining system integrity and user trust.
Context ∞ Current discussions around AI governance layers often center on balancing decentralization principles with the need for robust control over increasingly autonomous AI in crypto. A critical development involves creating adaptive regulatory models that can keep pace with rapid AI advancement while preserving the core values of blockchain technology. The debate concerns who holds ultimate authority in such hybrid systems and how to prevent centralized points of failure.
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