From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Intellectual property risks
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Intellectual property risks
Artificial intelligence relies on vast amounts of data and produces content that can resemble or directly reuse other people's work. That dependence creates two intertwined intellectual property challenges. First, the organization must respect the copyrights, trademarks, and patents that apply to training data and reference material. Second, it must clarify ownership of the model's outputs so that customers know what they may publish, sell, or patent. Missteps can lead to infringement suits, injunctions that halt products, or costly settlement and licensing fees. The risk starts with data ingestion. Web-scale training sets often include news articles, code snippets, image, and audio that has license terms forbidding redistribution or derivative use. Scraping tools rarely record those terms of use, leaving engineers unsure whether a text sample sits in the public domain or under a premium subscription. subscription. Fine-tuning on customer data adds another wrinkle. Contracts may…
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Responsible AI5m 29s
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AI risks2m 23s
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Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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