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Legal Versus Ethical: Web Scraping Edition

Webbiquity

However, there are other laws and legislations that guide web scraping, such as breach of contract, illegal access and use of data, trespass to chattels, and copyright infringement. Copyrighted material. Also, it is not possible to copyright ideas, only the representation or specific form of those ideas. Trade secrets.

Ethics 272
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Five Reasons Not to Trust AI to Write Your Content

Trade Press Services Newsletter

This infringes on copyright laws and can open companies up to claims of plagiarism. The post Five Reasons Not to Trust AI to Write Your Content appeared first on Trade Press Services. Search engines also flag plagiarized content or copy that lacks proper flow, driving pages and websites down in search engine rankings.

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What Does AI Transparency Look Like? It Depends on Your Industry

Salesforce Marketing Cloud

This lack of transparency threatens privacy and security, and fosters uncompensated use of copyrighted content, according to Senate testimony by Ramayya Krishnan, dean of Carnegie Mellon University’s Heinz College of Information Systems and Public Policy. It helps to follow a framework. These are our guidelines for responsible development.

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The 6 Risks of AI Content

Animalz blog

Risk of copyright infringement and legal challenges. As generative models are trained on public datasets, generated content may unwittingly “leak” personal data, opening the publisher up to enforcement action from the Federal Trade Commission and state agencies, especially in California, New York, and Illinois.

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How to craft an effective AI use policy for marketing

Sprout Social

Other well-known authors like George RR Martin and John Grisham too, are suing parent company, OpenAI, over copyright infringement. Federal Trade Commission has set a precedent by forcing companies to delete their AI data gathered through unscrupulous means. Considering these instances and future repercussions, the U.S.

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Determining Which Generative AI Approach is Right for Your Marketing Team: Public vs. Proprietary vs. Enterprise Tools

Content Standard

Intellectual property and copyright issues: Public AI tools rely on pre-trained models, which may raise concerns regarding intellectual property and copyright. First, because models may have been trained on others’ copyrighted material.

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Generative AI faces more regulatory and legal challenges

Martech

News broke today that it is facing similar inquiries from the Federal Trade Commission, the first signs of regulatory threats within the U.S. An exception is Google, which stands accused of illegally using copyrighted content and stealing the personal information of millions of Americans to train its AI products.