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19 articles
Learn to build a security risk assessment framework for AI systems in national security, supporting democratic oversight initiatives.
This article explains the complex concept of supply chain risk assessment in AI governance, demonstrating how governments evaluate potential security vulnerabilities in AI companies and the legal challenges involved in such assessments.
Learn to build an AI governance monitoring dashboard that visualizes safety scores and compliance metrics for AI development projects, demonstrating practical applications of responsible AI practices.
Learn to build an AI safety monitoring system that evaluates AI models for bias and fairness, similar to what agencies like CAISI are developing for frontier AI models.
Learn to build a basic AI governance management system that demonstrates how AI standards and innovation are tracked and managed in real-world projects.
This article explains the concept of equity stakes in companies, using OpenAI's potential 5% government stake as a case study. It explores how such arrangements work, their significance in AI governance, and their implications for public-private collaboration.
This article explains export controls and how government regulations affect AI model deployment, using simple analogies to show why these rules matter for advanced AI systems.
Learn to build a basic AI governance framework using Python that tracks safety metrics and compliance indicators, similar to OpenAI's proposed federal governance model.
This article explains how AI influences executive compensation decisions and shareholder activism in tech companies, using Palo Alto Networks as a case study. It explores the intersection of corporate governance, AI decision-making, and stakeholder accountability.
Enterprise AI is entering a new phase where safety and trust are paramount, according to Databricks co-founder Ali Ghodsi at TechCrunch Disrupt 2026. Organizations are moving beyond pilot projects to comprehensive AI strategies focused on reliability and scalability.
This article explains how AI-driven credential governance works to protect enterprise security, moving beyond traditional password management to dynamic, intelligent access control systems.
Learn to build an AI governance framework that tracks model performance, detects bias, and maintains compliance records - essential skills for navigating potential AI regulation.
