LORNA TEDDER’s Post

Insightful opinion piece from Sukanya Sarkar. Is 2025 the year we get answers to some of the key questions concerning #copyright and #AI?

Cameron, a musician and YouTuber behind Venus Theory, has created an outstanding video that tackles the critical question: Who owns the content produced by AI? In his video, Cameron thoughtfully explores this issue, posing straightforward yet essential questions while sounding an alarm about a looming catastrophe in the realm of content creation. Watch his video to gain valuable insights and understand his perspective on this pressing matter. #ai #artificialintelligence #copyright #youtube #content https://lnkd.in/en5wm4sm

We're excited to share a recent interview conducted by our Hong Kong team with NowTV’s 經緯線 on ethical Generative AI that adheres to copyright laws. Copyright infringement is a controversial issue when it comes to Generative AI tools. This interview sheds light on how Getty Images’s Generative AI provides a worry-free model specifically designed for business: -         Our Generative AI is trained exclusively on Getty Images’ best-in-class creative content. -         Commercially-safe—no intellectual property or name and likeness concerns, no training data concerns -         You can download and license any visual you generate, at your desired resolution and size, at no extra charge -         Uncapped indemnification included with each download  -         All generated images will not be added to the creative library for others to license -         Access via API or gettyimages.com Visit the link below to learn more! (please note that the program and interview are condcuted in Cantonese only) https://lnkd.in/gpEqnrFh 

Opting out, frequently put forward in various policy drafts, places a significant burden on creators and is technically impractical to implement. Identifying copyrighted content used for training AI models becomes exceptionally challenging unless explicitly opted in through RAG-based business models. I agree with the statements of the author and look forward to ensuring fair renumeration and copyright for creators.

Prompts are more than just inputs - they're becoming a critical part of establishing originality in AI-generated works. If you’re interested to see how you could adapt your IP strategy as AI evolves, happy to share my article on “Prompting: what to know and does it matter for Intellectual Property?” #AI #IntellectualProperty #copyright

Happy FridAIy! (See what I did there?) Interesting development in the #ai / #publishing space. Penguin Random House is now adding a line of text to copyright pages in new books and reprints specifically stating:  “No part of this book may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems.” While not binding in a contractual sense, this warning sends a clear message about the publisher's stance on the use of copyrighted material for #generativeai training. As more and more content owners, creators, and licensees are realizing the #copyright implications of AI training and taking affirmative actions, will other publishers follow suit? What about the #TV, #film, and #music industries? Can these statements of intent be coupled with variations of the developing anti-training countermeasures we've seen popping up, like Glaze and Nightshade? We could shortcut a lot of this through legislation and regulation, but here in the US, we're a little distracted at the moment, at least until after Tuesday. Or maybe we'll be more distracted after Tuesday... #hangontight https://lnkd.in/eJXggzNz

We are witnessing a watershed moment in the history of creative production. The traditional creative economy—based on the scarcity of time, skill, and the ability to express ideas—has been fundamentally altered. AI's capacity to generate works quickly and efficiently disrupts long-established markets and industries, from publishing to entertainment to design. This shift necessitates a reevaluation of how we assign value and protection in creative industries. Failure to adapt legal frameworks to this new reality risks undermining both human contribution and the broader economy that thrives on the production of creative works. AI has, in essence, automated the labor-intensive portion of the creative process—expression—whether it be writing, music composition, or visual art. The bottleneck is no longer in producing quality prose, melodies, or imagery but rather in the human input that guides the AI to create meaningful, contextually rich, and emotionally resonant works. This input includes not only the original ideas but also the parameters, constraints, and refinements necessary for AI-generated work to meet human standards of creativity and relevance. The value now resides in this curatorial role, making the human input stage the most critical part of the creative process. Current copyright laws are ill-equipped to handle this paradigm shift. By devaluing human initiative and failing to extend protection to AI-generated works, we risk discouraging both human and machine-driven creativity. This legal gap undermines the core purpose of copyright law—to incentivize the creation of works that enrich the public domain—by not accounting for the increasingly collaborative nature of human and AI-generated content. Protecting these new forms of expression would not only encourage continued innovation but also ensure that creators, regardless of their reliance on AI, are fairly rewarded for their contributions. *ChatGPT's take on one of the sections of the paper @James Housel and I wrote. #AI #Copyright

This is a really interesting observation about how AI and Content ID, can flip upside down, spin in reverse and result in you filing a claim against yourself accidentally, and yet on purpose-ish. That’s right. #contentid #aimusic #ai #youtube #google #copyright #copyrightinfringement #hellscape

European Audiovisual Observatory | Observatoire européen de l'audiovisuel: #AI and the #audiovisual #sector: navigating the current legal landscape The European Audiovisual Observatory, part of the Council of Europe in Strasbourg, has published its latest report, AI in the Audiovisual Sector: Navigating the Current Legal Landscape. This new report offers a comprehensive overview of the growing role of artificial intelligence (AI) in the audiovisual industry and deep dives into its many complex legal implications. Authored by leading experts from across Europe, the report examines the intersection of AI technologies and current regulation within the audiovisual industry. The report addresses both opportunities and challenges that arise as AI transforms audiovisual content creation, distribution, and consumption. - Part one sets the scene for current use of AI in the audiovisual industries. - Part two focuses on data protection and copyright issues. - Part three illustrates five major challenges that AI poses to the audiovisual industry, regarding authorship and liability, personality rights and transparency, its impact on the labour market, AI's capacity to create and spread disinformation in the AV sector, and cultural diversity and media pluralism. - Part four looks to the horizon and examines the future of regulation in this field and ethical and societal dilemmas which we will face in coming years.A forward-looking chapter questions whether current AI regulations are future-proof and ready to tackle the challenges posed by AI in the AV sector. Notably, there is an absence of directly binding, sector-specific regulations. The authors discussed this regulatory gap: the extent to which existing legislation indirectly affects AI systems in AV, and whether newly established frameworks adequately address the sector's specific risks and challenges. - The final chapter of this report addresses the broader ethical implications of AI in the AV industry. Issues such as authenticity, the potential for AI to distort reality, and the societal impacts of AI-generated content are explored in depth. The report highlights the need for ethical guidelines as AI continues to evolve and permeate an increasing number of creative processes, job functions and consumption models.

#AI #Creators #AITraining “Thousands of creators from across the creative industries have endorsed a statement saying that AI companies which train their models with existing content without getting permission first are posing an “unjust threat” to the livelihoods of people working in those sectors.” “…That statement reads, “The unlicensed use of creative works for training generative AI is a major, unjust threat to the livelihoods of the people behind those works, and must not be permitted”. Creators - and organisations across the creative industries - are now being encouraged to sign the statement via a bespoke website.” Read the article for more: #DataTraining #CopyrightProtection #DigitalRights #AITools #ArtificialIntelligence #IP #IntelectualProperty #GenerativeAi #GeAi #InteligenciaArtificial #InteligenciaArtificialGenerativa #IntelligenceArtificielle #KünstlicheIntelligenz #Legal #Tech #Technology #TextMining #CopyrightException #FairUse #Artists #Songwriters #PropiedadIntelectual #PI #DerechoDeAutor #DroitdAuteur #Copyright