The chapter delves into the philosophical and policy debates surrounding the creation and sharing of deepfakes, exploring the challenges and implications of restrictions. It compares two bills in Congress, the No Fakes Act and the Defiance Act, and discusses the complexities of defamation laws in addressing intentional character defamation through deepfakes. The conversation also highlights the regulatory challenges posed by emerging AI technologies in manipulating both visual and voice aspects of deep fakes.
Our new Thursday episodes of Decoder are all about deep dives into big topics in the news, and this week we’re continuing our mini-series on one of the biggest topics of all: generative AI. Last week, we took a look at the wave of copyright lawsuits that might eventually grind this whole industry to a halt. Those are basically a coin flip — and the outcomes are off in the distance, as those cases wind their way through the legal system.
A bigger problem right now is that AI systems are really good at making just believable enough fake images and audio — and with tools like OpenAI’s new Sora, maybe video soon, too. And of course, it’s once again a presidential election year here in the US. So today, Verge policy editor Adi Robertson joins the show to discuss how AI might supercharge disinformation and lies in an election that’s already as contentious as any in our lifetimes — and what might be done about it.
Links:
Credits:
Decoder is a production of The Verge and part of the Vox Media Podcast Network.
Today’s episode was produced by Kate Cox and Nick Statt and was edited by Callie Wright.
The Decoder music is by Breakmaster Cylinder.
Learn more about your ad choices. Visit podcastchoices.com/adchoices