The AI election deepfakes have arrived

Moderation

Content moderation is facing significant challenges as platforms struggle to manage deepfake content. Adi Robertson compares the oversight board's role to that of the Supreme Court, highlighting the lack of comprehensive moderation frameworks on platforms like Facebook 1. The political backlash, particularly in the US, has led to diminished trust and safety teams, as seen with Twitter's recent changes under Elon Musk 1. Robertson notes that platforms are leaning towards labeling manipulated content rather than removing it, allowing users to make informed decisions 2.

The consensus is we're going to label this, and that's going to be mainly our job.

--- Adi Robertson

This approach, however, raises questions about the effectiveness of such measures in combating misinformation.

   

Policies

Platforms are grappling with policy frameworks to manage AI-generated content, especially deepfakes. Nilay Patel discusses the challenges of regulating AI-generated misinformation without infringing on the First Amendment, particularly in political contexts 3. The distribution of deepfakes poses a significant problem, as platforms struggle to balance moderation with free speech rights 4. Patel highlights the importance of watermarking AI-generated content as a potential solution, but acknowledges the complexities involved in its implementation.

The real problems are in distribution. You make a bunch of deep fakes at your house with Donald Trump, and you never share them with anyone. What harm have you caused?

--- Nilay Patel

The pressure to regulate is mounting, yet platforms' commitment to moderation remains inconsistent.