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Core
AI Governance Frameworks
AI governance is the program that makes deployments safe, fair, and compliant: risk assessment, documentation (model cards, datasheets), human oversight, monitoring, and incident response, structured by frameworks like the NIST AI Risk Management Framework and laws like the EU AI Act (which tiers obligations by risk). For high-risk systems, the practices this domain already recommends become legally mandatory. Applied-AI interviews probe it because enterprise and regulated deployments require it, and it turns ad-hoc safety into an auditable process.
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AI Security, Privacy & GovernanceWhat does an AI governance and compliance program look like (model cards, audit, EU AI Act risk tiers)?→AI Security, Privacy & GovernanceWhat is the NIST AI Risk Management Framework, and how do you operationalize it?→AI Security, Privacy & GovernanceWhat does the EU AI Act require, and how does its risk-based tiering affect what you build?→AI Security, Privacy & GovernanceWhat is ISO/IEC 42001, and how does it differ from the NIST AI RMF and the EU AI Act?→AI Security, Privacy & GovernanceUnder the EU AI Act, what concrete obligations attach to a high-risk system versus a GPAI model?→AI Security, Privacy & GovernanceHow do you handle PII and data governance for an enterprise LLM deployment (SOC 2, GDPR, the EU AI Act)?→
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