Tag: AI-generated

Industry Views

When “Sharing” Becomes Stealing: TALKERS’ 90-Second Lesson in Fair Use

By TALKERS | by TALKERS

By Matthew B. Harrison

TALKERS, VP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgNinety seconds. That’s all it took. One of the interviews on the TALKERS Media Channel – shot, edited, and published by us – appeared elsewhere online, chopped into jumpy cuts, overlaid with AI-generated video game clips, and slapped with a clickbait title. The credit? A link. The essence of the interview? Repurposed for someone else’s traffic.

TALKERS owns the copyright. Taking 90 seconds of continuous audio and re-editing it is infringement.

Could they argue fair use? Maybe, but the factors cut against them:

  • Purpose: Clickbait, not commentary or parody.
  • Nature: Original journalism leans protective.
  • Amount: Ninety seconds may be the “heart” of the work.
  • Market Effect: If reposts draw views, ad revenue, or SEO, that’s harm.

And here’s the key point: posting free content doesn’t erase its market value. Free journalism still generates reputation, sponsorships, and ad dollars. Courts consistently reject the idea that “free” means “up for grabs.”

Enforcement options exist. A DMCA notice can clear a repost quickly. Repeat offenders risk bans. On-screen branding makes copying obvious, and licenses can set terms like “share with credit, no remix.”

But here’s the hard truth: a takedown won’t stop the AI problem. Once a clip circulates, it’s scraped into datasets training text-to-video and voice models. Deleting the repost doesn’t erase cached or mirrored copies. Think of it like pouring a glass of water into the ocean – you can’t get it back. And to make matters worse, enforcement doesn’t stop at U.S. borders. Different countries have different copyright rules, making “justice” slow, uneven, and rarely satisfying.

That TALKERS interview may now live inside billions of fragments teaching machines how people speak. You can win the takedown battle and still lose the training war. Courts are only starting to address whether scraping is infringement. For now, once it’s ingested, it’s permanent.

Creators face a constant tension: content must spread to grow, but unchecked sharing erodes control. The challenge in 2025 is drawing that line before your work becomes someone else’s “content.”

The law is still on your side – but vigilance matters. Use takedowns when necessary. Brand so the source is clear. Define sharing terms up front. And remember: free doesn’t mean worthless.

The real question isn’t just “Is it fair use?” It’s “Who controls the story?”

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com

Industry Views

When the Library Talks Back

By TALKERS | by TALKERS

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By Matthew B. Harrison
TALKERS, VP/Associate Publisher
Harrison Media Law, Senior Partner
Goodphone Communications, Executive Producer

imgImagine SiriusXM acquires the complete Howard Stern archive – every show, interview, and on-air moment. Months later, it debuts “Howard Stern: The AI Sessions,” a series of new segments created with artificial intelligence trained on that archive. The programming is labeled AI-generated, yet the voice, timing, and style sound like Stern himself.

Owning the recordings might suggest the right to create new works from them. In reality, the answer is more complicated – and the music industry offers a useful comparison.

Music Industry Precedent

Sony, Universal, and others have spent hundreds of millions buying music catalogs from artists such as Bob Dylan, Bruce Springsteen, Paul Simon, and Queen. These deals often include both composition rights and master recordings, giving the buyer broad control over licensing and derivative works.

In music, the song and the recording are the assets. In talk content, the defining element is the host’s persona – voice, cadence, and delivery – which changes the legal analysis when creating new material.

Copyright and Persona Rights

Buying a talk archive usually transfers copyright in the recordings and any scripts. That permits rebroadcast, excerpts, and repackaging of original programs.

It does not automatically transfer the host’s right of publicity – control over commercial use of their name, likeness, and in many states, their distinctive voice. In Midler v. Ford Motor Co. (1988), the court ruled that imitating Bette Midler’s voice in a commercial without consent was an unauthorized use of her identity.

This means a company can own the shows without having the right to make new performances in the host’s voice unless the contract clearly grants that right.

The AI Factor

AI technology can replicate a host’s voice, tone, and style with high accuracy, producing entirely new programming.

Outside broadcasting, a recent AI-generated George Carlin special – written by humans but performed by a voice model trained on decades of his work – sparked debate about rights and legacy.

In talk radio, similar AI use could create “new” episodes featuring well-known hosts. Even with clear labeling, right-of-publicity claims may arise if the host or their estate never authorized it. Disclaimers may address consumer confusion but do not remove identity-rights issues.

Why It Matters

This applies to more than national figures. Any broadcaster or podcaster with a substantial archive could face it. Selling or licensing a library could give the buyer the tools to replicate your voice without your participation.

For buyers, the ability to produce new content from archived material has commercial appeal. But without the right to use the host’s voice for new works, it carries significant legal and reputational risk.

Contracts Decide

The key is in the contract:

— Did the talent assign rights to their name, likeness, and voice for future works?
— Is use limited to original recordings or extended to derivative works?
— Does it address future technologies, including AI?

Older agreements often omit these points, leaving courts to decide. Future contracts will likely address AI directly.

Takeaways

For talent: Know what you are transferring. Copyright ownership does not necessarily include your future voice.

For buyers: Owning an archive does not automatically give you the right to create AI-generated new material in the original host’s voice.

For everyone: As AI advances, control over archives will depend on the contracts that govern them.

Matthew B. Harrison is a media and intellectual property attorney who advises radio hosts, content creators, and creative entrepreneurs. He has written extensively on fair use, AI law, and the future of digital rights. Reach him at Matthew@HarrisonMediaLaw.com or read more at TALKERS.com.