PSA: How to help your parents and your elderly relatives spot fake content


I talk to my mom a fair amount, and it is getting tougher and tougher for her to spot AI-generated content. She really is struggling to understand what's real, what's not, what's fake news, etc.

So every chance I get, I send her updates on what AI is capable of and what you should be looking out for.

A video that caught my eye recently helped (at least for the rest of 2025 I hope) people pick out what is AI generated and what is not is this video titled Can We Teach our Moms to Spot Fake Ai Videos? by Corridor Crew.

The video does a great job of summing up a lot of the nuanced details you can use to spot content generated via AI in a way that I think most people can understand.

I realize this isn't what I normally post about, but my content schedule on Fridays is a free-for-all. I figured, why not give you guys the tools to help yourself understand what's AI-generated and what's not? Also, to help your relatives and friends who might be struggling to do the same.

Well, we're on the topic. You may want to check out contentcredentials.org . When I was using AWS Nova to generate images of me trying on clothes I decided to give it a test by uploading the exact binary I downloaded from AWS Nova, and it was able to determine very quickly it was AI-generated and created with AWS Nova.

Unfortunately, I was able to stump it pretty easily by taking a screenshot of what AWS Nova had given me. None of the meta tags were in their headers, and it appears to be unsure as to whether or not that was AI-generated, considering the lighting looks awful and it looks fairly ridiculous. It's not quite a fully flushed out tool that I'd bet the farm on yet.

But after reviewing their website in a little bit more detail, they're not claiming to be able to spot every bit of AI. They're mainly trying to create a chain of custody for newly generated AI content that can track it back to its original sources.

Let me know if you're interested in me doing a deeper dive on Content Credentials . It's a fascinating use case that's popped up recently that didn't exist even just a few years ago.