{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"Building Governance-as-Code for Enterprise AI Systems","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/79aaab9c\"></iframe>","width":"100%","height":180,"duration":561,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/building-governance-as-code-for-enterprise-ai-systems.\n             AI governance fails when it lives outside the stack. Governance-as-Code embeds enforceable, version-controlled controls directly into enterprise AI pipelines. \n            Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai-governance, #governance-as-code-ai, #enterprise-ai, #responsible-ai, #ai-engineering, #policy-as-code, #ai-system-design, #ai-runtime-monitoring,  and more.\n            \n            \n            This story was written by: @tosin1. Learn more about this writer by checking @tosin1's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                Most enterprises have AI governance policies. Few enforce them in code. This article introduces Governance-as-Code, a practical engineering model for embedding enforceable controls directly into enterprise AI systems.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}