In-Ear Insights: AI And the Future of Intellectual Property

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the present and future of intellectual property in the age of AI. You will understand why the content AI generates is legally unprotectable, preventing potential business losses. You will discover who is truly liable for copyright infringement when you publish AI-assisted content, shifting your risk management strategy. You will learn precise actions and methods you must implement to protect your valuable frameworks and creations from theft. You will gain crucial insight into performing necessary due diligence steps to avoid costly lawsuits before publishing any AI-derived work. Watch now to safeguard your brand and stay ahead of evolving legal risks! Watch the video here: Can’t see anything? Watch it on YouTube here . Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-ai-future-intellectual-property.mp3 Download the MP3 audio here . Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about the present and future of intellectual property in the age of AI. Now, before we get started with this week’s episode, we have to put up the obligatory disclaimer: we are not lawyers. This is not legal advice. Please consult with a qualified legal expert practitioner for advice specific to your situation in your jurisdiction. And you will see this banner frequently because though we are knowledgeable about data and AI, we are not lawyers. We can, if you’d like, join our Slack group at Trust Insights, AI Analytics for Marketers, and we can recommend some people who are lawyers and can provide advice depending on your jurisdiction. So, Katie, this is a topic that you came across very recently. What’s the gist of it? Katie Robbert: So the backstory is I was sitting on a panel with an internal team and one of the audience members. We were talking about generative AI as a whole and what it means for the industry, where we are now, so on, so forth. And someone asked the question of intellectual property. Specifically, how has intellectual property management changed due to AI? And I thought that was a great question because I think that first and foremost, intellectual property is something that perhaps isn’t well understood in terms of how it works. And then I think that there’s we were talking about the notion of AI slop, but how do you get there? Aeo, geo, all your favorite terms. But basically the question is around: if we really break it down, how do I protect the things that I’m creating, but also let people know that it’s available? And that’s. I know this is going to come as a shocker. New tech doesn’t solve old problems, it just highlights it. So if you’re not protecting your assets, if you’re not filing for your

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