Contents

• The NO FAKES Act
• Detecting AI-Generated and Deepfake Content

Today, Hive joins other leading technology companies and trade organizations in endorsing the NO FAKES Act — a bipartisan piece of legislation aimed at addressing the misuse of generative AI technologies by bad actors.

The legislation has been introduced by U.S. Senators Marsha Blackburn (R-Tenn.), Chris Coons (D-Del.), Thom Tillis (R-N.C.), and Amy Klobuchar (D-Minn.), along with U.S. Representatives Maria Salazar (R-Fla.) and Madeleine Dean (D-Penn.). Read the full letter here.

The NO FAKES Act

The Nurture Originals, Foster Art, and Keep Entertainment Safe (NO FAKES) Act of 2025 is a bipartisan bill that would protect the voice and visual likeness of all individuals from unauthorized recreations by generative artificial intelligence.

This Act, aimed at addressing the use of non-consensual digital replications for audiovisual works or sound recordings, will hold individuals or companies liable for the production of such content and hold platforms liable for knowingly hosting such content.

As a leading provider of AI solutions to hundreds of the world’s largest and most innovative organizations, Hive understands firsthand the extraordinary benefits that generative AI technology provides. However, we also recognize that bad actors are relentless in their attempts to exploit it. 

As Kevin Guo, Hive’s CEO and Cofounder, explains in the endorsement letter:

“The development of AI-generated media and AI detection technologies must evolve in parallel,” said Kevin Guo, CEO and cofounder of Hive. “We envision a future where AI-generated media is created with permission, clearly identified, and appropriately credited. We stand firmly behind the NO FAKES Act as a fundamental step in establishing oversight while keeping pace with advancements in artificial intelligence to protect public trust and creative industries alike.”

https://www.blackburn.senate.gov/2025/4/technology/blackburn-coons-salazar-dean-colleagues-introduce-no-fakes-act-to-protect-individuals-and-creators-from-digital-replicas

To this end, Hive has commercialized AI-powered solutions to help digital platforms proactively detect the potential misuse of AI-generated and synthetic content. 

Detecting AI-Generated and Deepfake Content

Hive’s AI-generated and deepfake detection models can help technology companies identify unauthorized digital replications of audiovisual likeness in order to comply with the provisions outlined in the NO FAKES Act. 

The endorsement letter references the high-profile example of the song “Heart on My Sleeve,” featuring unauthorized AI-generated replicas of the voices of Drake and The Weeknd, which was played hundreds of thousands of times before being identified as fake. Streaming platforms and record labels will be able to leverage Hive’s AI-Generated Music model to proactively detect such instances of unauthorized recreations and swiftly remove them.

While the harmful effects of unauthorized AI-generated content go far beyond celebrities, Hive also offers a Celebrity Recognition API, which detects the visual likeness of a broad index of well known public figures, from celebrities and influencers to politicians and athletes. Hive’s Celebrity Recognition API can help platforms proactively identify bad actors misusing celebrity visual likeness to disseminate false information or unauthorized advertisements, such as the recent unauthorized synthetic replica of Tom Hanks promoting a dental plan.

Hive’s AI-generated and deepfake detection solutions are already trusted by the United States Department of Defense to combat sophisticated disinformation campaigns and synthetic media threats. 

For more information on Hive’s AI-Generated and Deepfake Detection solutions, reach out to sales@thehive.ai or visit: https://thehive.ai/apis/ai-generated-content-classification