In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the complexities of data privacy in the era of generative AI. They offer practical tips on safeguarding personal and company data, emphasizing the importance of understanding terms of service and the implications of sharing information online. You’ll gain insights into how different AI models handle data and the significance of opting for secure, private AI solutions for sensitive information. Tune in to navigate the challenges and opportunities presented by generative AI in a data-driven world.

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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.

In this week’s In-Ear Insights, let’s talk about data privacy and generative AI.

It is no secret that for many of the tools that are out there, those tools are looking for more data to train on to get better feedback from users to say this was a good response.

This was a bad response, sometimes with not dubious consent, but with consent that is deeply buried or implicit.

So for example, about a year ago now, x, the service formerly known as square changed his Terms of Service and said, Hey, we’re going to use your data to train our AI on and the only way to opt out is to cancel your account.

There are many, many other services out there, the golden rule that we have said for 20 years now is, if you are not paying, you are the product.

And that has never been more true in the age of generative AI.

So Katy, last week, you did a seminar with MarketingProfs.

And one of the questions folks had was like, what should I be thinking about? When it comes to data privacy and generative AI? So you want to recap sort of how things went with that in terms of your perspective on it? Yeah, absolutely.

And so it’s a really good question.

I’m glad that people are asking it.

Because if you’re not asking about your data, privacy and security, then to your point, Chris, you are the product.

So the question was around the GPT model, so ChatGPT, anthropic, Claude, so and so forth, and they were asking, you know, what do I need to know about privacy and data security? How do I protect my information.

And so it’s a layered response, because it really depends on your specific use case.

But at