Secure AI Implementation and Governance
The MLSecOps Podcast
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Unified Approach to AI Standards and Frameworks for Governance and Implementation
The chapter explores the integration of various standards like ISO, OASP, NIST, and MITRE to create a comprehensive framework for AI implementation and governance, emphasizing the importance of leveraging their strengths. It also addresses the risks of AI implementation such as privacy threats, data security concerns, biases in decision-making, and the necessity of continuous risk assessments and adherence to technical standards like the OAS top 10 for LLMs.
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