AWS Certified AI Practitioner AIF-C01 Practice Question
A company plans to use a large language model on Amazon Bedrock to automatically draft product descriptions for its e-commerce site. Before deploying the solution, the legal team asks which risk could expose the company to potential lawsuits if the generated text closely matches material found in the model's training data. Which legal risk should the team highlight?
Unintentional infringement of third-party intellectual property rights
Unexpected increases in compute costs during inference
Underfitting that limits the model's domain-specific vocabulary
Minor grammatical or spelling mistakes in the generated copy
Generative models can sometimes reproduce passages that are substantially similar to copyrighted or otherwise protected material that appeared in their training data. Shipping such text without permission may violate intellectual property law, leading to copyright- or trademark-infringement claims. Cost overruns, spelling errors, or an under-specialized model may cause business problems, but they do not in themselves create IP liability.
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What is intellectual property infringement in AI?
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Why might generative models reproduce copyrighted training data?
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What is Amazon Bedrock and how does it support large language models?
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What is intellectual property infringement in the context of generative AI models?
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How can a company mitigate intellectual property risks when using large language models?
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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