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  "documentTitle": "2025 The AI Dossier",
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  "notes": "Part of 'The AI Dossier' series. Includes a sidebar with two key AI use cases.",
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      "text": "ISSUE/OPPORTUNITY: Chip development demands exhaustive testing and validation due to increasing functional complexity and the high cost of post-release defects. Human testers may struggle to keep pace with the volume and sophistication of required test cases, leading to potential quality issues, slower development cycles, and growing verification costs. Yet, security vulnerabilities or missed bugs can result in major product delays, public backlash, and brand damage, prompting chip manufacturers to add even more layers of testing.",
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      "text": "HOW AI CAN HELP: Automating test creation (AI tools can be used to create new test cases from product requirement documents, bug histories, and structured datasets. These tools can assist engineers by proposing a wider set of test scenarios including ones not previously considered and by automating portions of test implementation through code generation.) Identifying test gaps (AI systems can also help identify gaps in testing coverage and can prioritize high-risk areas based on historical failure data, although integration with structured data and internal governance systems remains an ongoing challenge.)",
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