Williams questions companies on deepfakes of public officials
Deputy Speaker Nantasha Williams asks about her bill on unauthorized AI depictions of officials and what steps companies take to prevent deepfakes of public officials. Dwyer cites usage policies and provenance tagging; Graham notes Claude does not generate images; Cahill and Friend describe watermarking and C2PA.
Hello.
I'm going to just jump right into a question on my bill.
So it has to do with unauthorized depictions of officials by AI.
What steps have you taken to ensure that your AI tools cannot be used to create deep fakes of public officials or to spread misinformation?
Anyone?
I guess Mrs.
Dwyer.
We're going to keep starting with me.
I'm happy to answer that question.
Thank you for that.
And thank you for your bill.
Look, OpenAI does not believe and well, let me back up.
OpenAI's usage policies prohibit the use of our tools for election interference.
We also believe it is very important that individuals know where their content came from and whether it was AI generated.
And that's why for all of our audiovisual content, we tag it with what's called provenance.
That's a technical term, but it means like a watermark or metadata so that people know the content is AI generated.
And we also make publicly available a tool that allows the public to test whether content was AI generated.
Mr.
Graham.
So Claude, our model Claude, is a language model.
And so it doesn't generate images.
Therefore, we sort of don't handle deepfakes as a result.
That said, we think it's important for a number of other reasons that we can get into to do what we call watermarking of text in order to identify if our models themselves are being used and misused in other ways.
But again, we don't generate images in part for this reason.
Mr.
Cahill, followed by Ms.
Friend.
Deputy Speaker, thank you very much for this question.
At Meta, if content is generated by one of our AI tools, we will also embed metadata and attach watermarking to it so that people can identify if it is AI generated.
Similarly, if we detect watermarking and metadata on our platforms, we will attach a label to it also.
Yes, ma'am.
At Google, we are very proud to have invented our Synth ID watermarking feature, which many across the industry have also adopted.
We are also part of the Content Coalition for Provenance and Authenticity standard, which allows users to understand the origin of material they see online.
We also require on our YouTube platform that significant use of generative AI in content be labeled as such by our creators.
And we were also the first major company to require that election advertisers also prominently disclose when they are using generative AI technologies in their campaign ads.
All this put together means that we care very much about information integrity across the web and across our own products and services.
And we continually invent and improve technologies to help our users understand when they are seeing generative AI content and also understand the origins of that content.
Okay, thanks.