AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU

AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU

AI in Market Economics and Pricing Algorithms AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics. Unlike human-set strategies in oligopoly models, AI agents, like Q-learning, autonomously learn pricing strategies from data, often resulting in supra-competitive pricing due to agents’ ability to detect rivals’…

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Nicole Clark, CEO & Founder of Trellis – Interview Series

Nicole Clark, CEO & Founder of Trellis – Interview Series

Nicole Clark, CEO and founder of Trellis, created the legal analytics platform to address challenges she faced as a litigator. Drawing from her experience in business litigation, she began aggregating state trial court data to tailor legal arguments and improve case outcomes. Recognizing its potential, she expanded Trellis to democratize access to legal insights. With…

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Law enforcement agencies see AI as a key tool for reducing crime – Help Net Security

Law enforcement agencies see AI as a key tool for reducing crime – Help Net Security

A U.S. national survey of first responders reveals strong support for AI adoption, cybersecurity concerns, and increasing demand for cloud-native, data-driven, and interoperable CAD and RMS systems to improve efficiency and public safety outcomes, according to Mark43. “Public safety agencies across the United States are grappling with challenges such as cyberattacks, legacy system outages, and…

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