BERNARDSVILLE, NJ (Somerset County) – Congressman Tom Kean, Jr spoke out Thursday after reports that fake pornographic images of Taylor Swift generated using artificial intelligence were circulated and became viral on social media.
“It is clear that AI technology is advancing faster than the necessary guardrails,” said Kean. “Whether the victim is Taylor Swift or any young person across our country – we need to establish safeguards to combat this alarming trend. My bill, the AI Labeling Act, would be a very significant step forward.”
In November 2023, students at Westfield High School used similar artificial intelligence to make fake pornographic images of other students at the school. Reports found that students’ photos were manipulated and shared around the school, which created a concern amongst the school and the community on the lack of legal recourse of AI-generated pornography. These kinds of altered pictures are known online as “deepfakes”.
Congressman Kean recently co-hosted a press conference in Washington, DC with the victim, Francesca Mani, and her mother, Dorota Mani. The Manis have become leading advocates for AI regulations.
In addition to introducing HR 6466, the AI Labeling Act, a bill that would help ensure people know when they are viewing AI-made content or interacting with an AI chatbot by requiring clear labels and disclosures, Kean is also a cosponsoring H.R. 3106, the Preventing Deepfakes of Intimate Images Act.
Kean’s AI Labeling Act would:
- Direct the Director of the National Institute of Standards and Technology (NIST) to coordinate with other federal agencies to form a working group to assist in identifying AI-generated content and establish a framework on labeling AI.
- Require that developers of generative AI systems incorporate a prominently displayed disclosure to clearly identify content generated by AI.
- Ensure developers and third-party licensees take responsible steps to prevent systematic publication of content without disclosures.
- Establish a working group of government, AI developers, academia, and social media platforms to identify best practices for identifying AI-generated content and determining the most effective means of transparently disclosing it to consumers.
