AI systems don’t fail suddenly. They shift until failure is already embedded.

1. 1Identify potential areas of governance drift in AI systems
2. 2Monitor system behavior for small deviations from defined rules
3. 3Implement enforcement mechanisms at execution to prevent drift
4. 4Regularly review and update governance rules to ensure alignment with actual behavior

DevOps and machine learning teams can benefit from understanding governance drift to prevent AI system failures, as it requires collaboration between designers, developers, and operators to ensure alignment between defined rules and actual behavior

💡 Governance drift is the accumulation of small deviations that make failure inevitable, rather than a sudden breakdown

💡 AI systems don't fail suddenly, they shift until failure is embedded. Governance drift is the gradual separation between defined rules and actual behavior #AI #DevOps #MachineLearning