Jess Weatherbed
๐ค SpeakerAppearances Over Time
Podcast Appearances
How do you communicate a complex bucket of information to every person that's going to be on your platform and get them only the information that they need?
If I'm a creator, it shouldn't have to matter if I was using AI or not.
But if I'm a person trying to see if, again, a photo is real, I would greatly benefit from just a easy button or label that verifies authenticity.
Finding the balance for that has proven next to impossible because, as you said, people just get upset about it.
But then how do you define how much AI in something is too much AI?
You know, like Photoshop and all of Adobe's tools, they do embed these content credentials that all of this metadata, it will say when AI has been used.
But AI is in so many tools.
and not necessarily in the generative way that we assume it's going to be like, I'm going to click on this, it's going to add something new to an image that was never there before, and that's fine.
There are very basic editing features that video editors and photographers now use that will have some kind of information embedded into them to say that AI was involved in that process.
And now when you've got creators on the other side of that, they might not know that what they are using is AI.
We're at the point where unless you can go through every platform, every kind of editing suite with a fine tooth comb and designate, what do we count as AI?
This is a non-starter.
Like he's already hit the point of we can't communicate this to people effectively.
A very similar approach to TikTok, actually, because weirdly enough, TikTok is involved with this.
They use the standard.
They're not necessarily a steering member, but they are involved.
They have the similar approach where you will get an AI information label somewhere towards, depending on what format you're viewing on, mobile or your TV, your computer, you'll get a little AI information label that you have to click in and ascertain the information you need from that.
Their kind of problem is making sure it's robust enough because this doesn't appear consistently.