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Generative Artificial Intelligence (GAI) applications don't only use scraped information for training purposes, but also retain all the information they are given for future use and training. If you haven't figured it out yet, there are reasons to be concerned about data ownership, data privacy, etc. This will undoubtedly unfold over the next 12 months or so.

Throughout April and May 2023, Italy, Spain, and the European Data Board weighed in on scraped content used in TDM, LLM, and GAI engines. As a result, the Italian Data Protection Agency (GPDP) has temporarily limited how OpenAI, the US-based company that develops and manages the platform, can process Italian users' data.

Additionally, the European Union's privacy watchdog CNIL has requested a privacy evaluation of OpenAI's ChatGPT. The European Data Protection Board (EDPB) formed a task force to foster cooperation and exchange information on possible enforcement actions. In the US, the Biden administration is looking at GAI tools and whether they should be regulated.

Read our paper for a deeper look at data protection licenses that could be affected (and could affect how you use GAI tools).

ChatGPT and other new Artificial Intelligence programs have a lot of potential uses for businesses. But before using them to make rules and guidelines for a company, there are some things to think about.

First, let's talk about how they work. ChatGPT uses a system called "Generative Pre-trained Transformer" to predict how words and phrases go together. When you ask it a question, it uses this system to generate an answer.

But there are some issues to consider. Sometimes the answers ChatGPT gives might not be accurate or correct. This can happen for different reasons, like if the question is too complicated. Also, the way that ChatGPT learns can sometimes create biased responses based on things like the information it was trained on.

Another thing to think about is attribution. ChatGPT doesn't always tell you where it got its information from, but you can ask it to use a certain citation style to make it easier to check. However, sometimes the links it provides don't work, so you have to be careful.

So, can you use ChatGPT to make rules and guidelines that will hold up under review? Yes, as long as you can explain how you got the information and how it fits with the regulations you need to follow.

Checkout our paper on this exact scenario.

Here is what it can do for you.

LogicGate’s automated platform is focused on creating implementation workflows that are absolutely necessary for continuous compliance. In addition, their no-code tools enable our joint clients to drag-and-drop workflows to build custom templates for themselves. For instance, there’s a custom workflow that routes authority document lists to the appropriate roles for approval as a precursor to running a compliance program. Want to learn more? Go here to request a demo.

The UCF team has plans to map the following Documents:

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