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AI Developer

AI Developer is used for articles addressing organizations or individuals that develop, design, train, or substantially modify artificial intelligence systems or models. The tag covers laws and governance requirements applicable to AI developers, including transparency, documentation, training data, risk management, testing, safety, disclosures, and responsibilities associated with placing AI systems or models into use or on the market.

California’s Frontier AI Transparency Act: Building an Ongoing Safety and Oversight System for Powerful General-Purpose AI Models

California’s Frontier AI Transparency Act: Building an Ongoing Safety and Oversight System for Powerful General-Purpose AI Models

California’s Transparency in Frontier Artificial Intelligence Act (TFAIA) brings AI safety into legal compliance, requiring frontier developers to publish disclosures, report critical safety incidents, and—for the largest developers—adopt and follow formal AI safety frameworks.

California’s AI Liability Rule: Why “The AI Did It” Is No Longer a Defense

California’s AI Liability Rule: Why “The AI Did It” Is No Longer a Defense

California Civil Code § 1714.46 establishes a simple rule for AI liability: defendants cannot escape responsibility by arguing that AI acted autonomously. The law preserves traditional defenses while making clear that “the AI did it” is not one of them.

California’s AI Training Data Transparency Law: What Generative AI Developers Must Disclose

California’s AI Training Data Transparency Law: What Generative AI Developers Must Disclose

California’s AI Training Data Transparency Law requires generative AI developers to disclose key information about training datasets, including their sources, contents, use of personal information, licensing, modifications, collection periods, and synthetic data.