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14 articles
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.
This article explains the security implications of unauthorized access to Anthropic's Claude Mythos AI model, examining access control mechanisms and the challenges of securing advanced AI systems.
This explainer examines OpenAI's fundamental existential challenges in AI development, exploring the tension between open research principles and commercial viability that threatens the company's long-term position in the rapidly evolving AI landscape.
France is migrating its government ministries from Windows to Linux in a bid for digital sovereignty, reducing reliance on foreign technology ecosystems and asserting greater control over digital infrastructure and AI platforms.
Learn to build a governance system for AI agents that tracks activities, maintains audit trails, and ensures accountability as AI systems become more autonomous.
This explainer explores the Digital Operational Resilience Act (DORA), a EU regulation reshaping how financial institutions manage digital risks, particularly AI-driven operations. It explains DORA's key components, how it integrates AI governance, and why it matters for compliance and system resilience.
