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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. The CFAA (Computer Fraud and Abuse Act) and other similar state laws are the legal basis for claims in web scraping disputes. Copyrighted material.

Ethics 278
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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. In fact, the pattern mirrors the early days of cloud computing when the technology felt like unchartered territory. Yet today, cloud computing is ubiquitous. What is the foundational layer?”

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What could disrupt the future of generative AI?

Martech

In addition to the risks embedded in relying on what is essentially unconscious and amoral “intelligence,” users also face the very real prospects that copyright and privacy issues could mortally wound large language models (LLMs) like ChatGPT. But they could — and quite possibly will. Let’s take those in order.

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GPTBot crawler & GPT-5 plans launched

Valasys

Recent concerns have emerged about OpenAI’s data collection practices, with specific emphasis on copyright and consent. In June, Japan’s privacy regulatory authority cautioned OpenAI against acquiring sensitive data without proper authorization. Complicating matters further, OpenAI is facing legal challenges.

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How To Put AI To Work for Better Content Marketing

Content Marketing Institute

Here’s what they say you should – and shouldn’t – do: Do: Use AI for writing and editing assistance Generative AI tools can help you overcome lank-page syndrome” by acting as your research and brainstorming buddy. These versatile tools can speed up tedious production tasks and spare writers the frustration of staring at a blank page.

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The Responsible Approach to Generative AI

Content Standard

While 68% of the execs polled by Gartner believe the benefits of generative AI outweigh the risks, it’s forecasted that trust, security, privacy, and ethical challenges loom on the horizon for many organizations developing and deploying gen-AI solutions.

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A Practical Guide to Using AI in Email Marketing (For the Conscientious Marketer)

Litmus

The most prevalent concerns around AI include: Privacy and surveillance Bias and discrimination Inaccurate data Copyright infringement Plagiarism Data breaches Those are some heavy-hitting issues. The journey to modern day AI How is AI regulated today? For better or for worse. How did we get here? Government agencies in the U.S.