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20 articles
This article explains AI governance concepts through the lens of executive transitions between major tech companies, illustrating how organizational strategies and regulatory environments shape AI development practices.
SpaceX will not remove unpermitted turbines from xAI's data centers for another year, despite regulatory concerns. The company is building a new power plant to support xAI's Colossus data centers.
Learn to build a power consumption monitoring system for data centres that tracks energy usage and contributions to meet regulatory requirements like Australia's new data centre rules.
A federal judge approved Elon Musk’s $1.5 million SEC settlement over his late disclosure of a Twitter stake, despite significant concerns about the agreement. The case highlights regulatory challenges and the influence of high-profile figures in enforcement actions.
This article explains the complexities of data center development, regulatory challenges, and strategic decision-making in the tech industry through the case of Blackstone's QTS terminating its Digital Gateway project in Virginia.
Learn to scrape, analyze, and visualize EU antitrust case data using Python, with practical examples based on landmark cases like Google's €4.1 billion Android fine.
Learn to build a monitoring system for AI models that tracks predictions, detects anomalies, and logs performance metrics - essential skills for responsible AI development in today's regulatory landscape.
This article explains how AI model access control works and why it matters in the context of regulatory compliance and corporate governance. It explores the technical mechanisms behind restricting AI model access and the complex decisions involved when governments and corporations interact over AI safety.
OpenAI introduces its Frontier Governance Framework to align AI safety practices with EU and California regulations. The framework emphasizes proactive risk management and regulatory compliance as AI systems advance.
Learn to build an AI export compliance monitoring system that tracks AI technology exports and integrates with EXIM financing programs, using Python and database management.
Learn how to work with financial data using Python, inspired by regulatory investigations like the Apple-India App Store case. This beginner-friendly tutorial teaches data collection, analysis, and visualization using pandas and matplotlib.
Learn to build an AI governance framework that tracks model performance, detects bias, and maintains compliance records - essential skills for navigating potential AI regulation.
