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Fair Use or Foul Play? AI Training, Copyright, and Consent

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Manage episode 474664424 series 2806786
Content provided by Leticia Caminero. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Leticia Caminero or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Has your creative work been secretly fed to AI systems without your knowledge or consent? Across the creative landscape, from journalism to literature to visual arts, professionals are discovering their life's work has been quietly scraped, processed, and monetized by tech companies building the next generation of AI tools.
We pull back the curtain on what many are calling theft at an unprecedented scale. Meta's controversial harvesting of 81 terabytes from shadow libraries to train their Llama models. OpenAI and Microsoft facing lawsuits from major newspapers whose archives now power competing AI systems. The startling reality that creative works are being absorbed by machines programmed to mimic—and potentially replace—their human creators.
The legal landscape is transforming in response, with dramatically different approaches emerging worldwide. The US Copyright Office questions whether AI training constitutes infringement while the UK proposes an opt-out system that artists condemn as a "default license to steal." Meanwhile, the EU demands transparency about training data, and Australia calls for stronger creator protections. As courts grow skeptical of expansive fair use claims, new models are taking shape: collective licensing systems, creator opt-in platforms, and calls for a global WIPO treaty to harmonize rights across borders.
At its core, this isn't just about legal technicalities—it's about the future of human creativity itself. Can AI innovation flourish without erasing the value of human labor? The decisions we make today will determine whether copyright remains meaningful in a world where machines can copy everything. Join us as we navigate this critical intersection of innovation and authorship, and explore what a balanced future might look like—one where AI assists creators rather than replacing them. Subscribe now to stay informed as this pivotal battle for creative ownership unfolds.

Send us a text

  continue reading

Chapters

1. AI's Unauthorized Data Harvesting (00:00:00)

2. Legal Battles Against Tech Giants (00:01:38)

3. Global Policy Responses (00:03:28)

4. Emerging Licensing Models (00:04:52)

5. Future of Creative Rights in AI (00:06:20)

6. Episode Conclusion (00:08:56)

45 episodes

Artwork
iconShare
 
Manage episode 474664424 series 2806786
Content provided by Leticia Caminero. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Leticia Caminero or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Has your creative work been secretly fed to AI systems without your knowledge or consent? Across the creative landscape, from journalism to literature to visual arts, professionals are discovering their life's work has been quietly scraped, processed, and monetized by tech companies building the next generation of AI tools.
We pull back the curtain on what many are calling theft at an unprecedented scale. Meta's controversial harvesting of 81 terabytes from shadow libraries to train their Llama models. OpenAI and Microsoft facing lawsuits from major newspapers whose archives now power competing AI systems. The startling reality that creative works are being absorbed by machines programmed to mimic—and potentially replace—their human creators.
The legal landscape is transforming in response, with dramatically different approaches emerging worldwide. The US Copyright Office questions whether AI training constitutes infringement while the UK proposes an opt-out system that artists condemn as a "default license to steal." Meanwhile, the EU demands transparency about training data, and Australia calls for stronger creator protections. As courts grow skeptical of expansive fair use claims, new models are taking shape: collective licensing systems, creator opt-in platforms, and calls for a global WIPO treaty to harmonize rights across borders.
At its core, this isn't just about legal technicalities—it's about the future of human creativity itself. Can AI innovation flourish without erasing the value of human labor? The decisions we make today will determine whether copyright remains meaningful in a world where machines can copy everything. Join us as we navigate this critical intersection of innovation and authorship, and explore what a balanced future might look like—one where AI assists creators rather than replacing them. Subscribe now to stay informed as this pivotal battle for creative ownership unfolds.

Send us a text

  continue reading

Chapters

1. AI's Unauthorized Data Harvesting (00:00:00)

2. Legal Battles Against Tech Giants (00:01:38)

3. Global Policy Responses (00:03:28)

4. Emerging Licensing Models (00:04:52)

5. Future of Creative Rights in AI (00:06:20)

6. Episode Conclusion (00:08:56)

45 episodes

All episodes

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