Prof Hernan Huwyler CAIO MBA

AI-Governance-and-Quantitative-Risk-Portfolio

AI Governance and Quantitative Risk Portfolio: Frameworks, models, and tools for responsible AI, EU AI Act compliance, and quantitative risk management. Includes algorithmic auditing, Monte Carlo simulations, ISO 42001/NIST mappings, threat taxonomies, and GRC templates from 20+ years of executive experience.

ComplianceRisk

This course is tailored to meet the needs of professionals in the fields of compliance, legal counseling, data privacy, business consultancy, risk management, auditing, cybersecurity, and artificial intelligence.

1 star

HernanHuwylerRiskManagement

23 stars

PythonSumming

Python implementation of a risk model that uses Monte Carlo simulations to estimate potential losses in a project or business scenario. The model incorporates lognormal distributions for loss amounts and Poisson distributions for the frequency of risk events, providing a robust framework for quantifying and analyzing risk exposure.

hwyler

Quantitative Risk Assessment in R for AI governance and risk management. Monte Carlo framework to model AI system failures, algorithmic bias financial exposure, and model drift. Calculates Value at Risk (VaR) and loss distributions. Bridges data science and GRC for responsible AI.

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ai-compliance-rag

Agentic RAG for AI Compliance — EU AI Act Navigator

Python