From the course: Managing AI Risks: 8 Common Mistakes to Avoid at Work

Using AI-generated content that breaches copyright

From the course: Managing AI Risks: 8 Common Mistakes to Avoid at Work

Using AI-generated content that breaches copyright

Oh, shoot. I need to start working on the e-mail campaign copy for our new project management software. Hmm. I know. I'll ask AI to do it. Create e-mail campaign copy for our project management software in the style of red text recent campaigns. Oh, wow. This looks great. It's spot on. All right. Looks like I can just use this information as is and schedule the e-mail campaign before my deadline. Hold on. Did this person just publish AI-generated content without verifying where it came from? Without knowing if it's too close to someone else's copyright at work? That person potentially violated copyright law. AI doesn't create content from nothing. It learns from existing content and sometimes reproduces it too closely. This mistake is incredibly common as more people use AI for content creation and the legal landscape around AI and copyright is messy and evolving fast. Let's take the next few minutes to look at what you need to know about AI and copyright law, how to use AI for content creation while staying legally safe, and what your company's AI copyright policy should cover. The law around AI generated content and copyright is still being figured out. Courts are actively deciding these issues right now. I will share a few key legal principles with you, but keep in mind this list is not comprehensive and this is not legal advice. Please check with your legal department. A few key legal principles. Number one, AI training on copyrighted material is currently being challenged. Multiple lawsuits are challenging whether AI companies can legally train on copyrighted content without permission. If courts ruled the training was illegal, content generated from it could be problematic to use. Number two, reproducing existing work is still infringement. If AI reproduces substantial portions of copyrighted work, that's copyright infringement. You are liable, not the AI company. Number three, commercial use increases risk. Using AI content internally is lower risk than publishing it publicly or commercially. Courts view commercial use less favorably on their fair use. Okay, which AI-generated content carries the highest copyright risk? Let me break down some high-risk categories for you. Number one, marketing, creative, and visual content. Social media post, advertising copy, AI generated images, graphics. Why it's high risk? AI has been heavily trained on this content. Artists and authors are suing AI companies. And visual similarity is easier to prove. Number two, code and technical documentation. If AI reproduces license code without attribution or violates license terms, you're liable. If it reproduces proprietary code, you've got copyright and trade secret problems. Number three, academic and research content. Academics actively monitor for plagiarism. AI reproduction without citation creates copyright and academic integrity issues. Here are some scenarios that increase risk. Asking AI to write in the style of a specific author. creating AI images with recognizable styles or characters, not reviewing AI outputs before use. So how do you actually use AI for content creation without ending up in legal trouble? Let me share a few safe practices with you. Number one, use AI as a starting point, not the final product. AI can generate a draft, an outline, or an idea. you should modify, add to, and make it your own. This does two things. It adds the human input needed for copyright protection, and it reduces the chance that you're publishing something too similar to existing work. Number two, verify and cite sources. If AI includes statistics or quotes, verify them independently and then cite the actual source. This protects you legally and maintains credibility. Number three, document your process. Keep records of how AI was used, any modifications you made, and any due diligence conducted. If you ever face a copyright challenge, this documentation shows you acted responsibly. For high stakes or high visibility content, consider having a legal review, especially if you're in a heavily regulated industry. Your copyright policy needs to cover some basics. Here's a downloadable PDF you can use for reference and I'll walk you through it briefly. Your policy should cover permissible and prohibited uses. Define where it is permissible to use AI for content creation and specify where it is strictly prohibited and why. Next is verification requirements. Define what AI content must be reviewed and modified by humans. And then establish rules for source verification and proper attribution. Be sure to always document what due diligence must perform. And finally, liability and responsibility. Ensure your team understands copyright risks, and create a reporting structure for any copyright concerns. This might seem like a lot of process, But copyright infringement can result in expensive lawsuits, take down demands, and reputational damage. Prevention is way cheaper than defense. AI is a very powerful tool for content creation. But if it is trained on other people's copyrighted work, that creates legal complexity. So before you publish AI-generated content, ask yourself, did I substantially modify this or is it just AI output? Did I check if this is too similar to existing copyrighted work? And do I know where this content came from? If you're not confident in your answers, always take the time to review, modify, and verify.

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