Cognixia USA’s Post

As generative AI evolves, so do concerns over copyrighted training data. Explore Danner Kline's latest IP IQ blog post to learn more about the proposed Generative AI Copyright Disclosure Act of 2024, aimed at enhancing transparency while safeguarding innovation and IP rights. [https://bit.ly/4dGlITK]

The Generative AI Copyright Disclosure Act introduces critical measures to protect the intellectual property rights of creators in the age of artificial intelligence. ✍️ It mandates transparency from companies in disclosing the use of copyrighted works to train AI systems, ensuring creators are informed and have the tools to advocate for credit where due. ⚙️ This legislation represents a pioneering effort to balance technological innovation with the economic and legal rights of artists and content creators. ✊ In the age of AI, protecting creative rights is more important than ever. The Generative AI Copyright Disclosure Act by Rep. Adam Schiff is a critical step forward, and A2IM proudly supports it. Review the full bill here: https://lnkd.in/eERsRtPb #AI #ArtificialIntelligence

Let me ask you a fun question 👀 If you created content using AI, who holds the copyright to it? Is it you? Is the AI platform you made it on? Is it nobody? Or is it the creator of the data the AI was trained on? Well, whatever answer you do have, chances are, you are probably wrong, and I'm worried this is about to become a 𝐛𝐢𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. The question of who owns AI-generated content is more than just an academic curiosity—it’s a growing concern that could impact 𝐜𝐫𝐞𝐚𝐭𝐨𝐫𝐬, 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬, 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐞 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲. In my latest article, I explore the murky waters of AI and copyright law, examining who might truly hold ownership and the potential consequences for misuse and claims. The lack of clarity has real implications, from the misuse of Content ID systems to disputes over derivative works that can affect musicians, artists, and content creators alike. 𝐈𝐬 𝐢𝐭 𝐭𝐢𝐦𝐞 𝐟𝐨𝐫 𝐚𝐧 𝐨𝐯𝐞𝐫𝐡𝐚𝐮𝐥 𝐨𝐟 𝐜𝐨𝐩𝐲𝐫𝐢𝐠𝐡𝐭 𝐥𝐚𝐰𝐬 to keep up with the rapidly evolving world of AI? Share your thoughts below! 💭 #AI #DataEthics #Future #technology #Law

📚 Legal Wins in AI & Copyright 🚀 AI technology and copyright laws are crossing paths in significant ways. Recently, OpenAI overcame a copyright challenge from two news outlets over training methods, reported by Reuters. A New York judge found the claim lacked evidence of harm, but future amendments might change that. This case sets the stage for emerging legal discussions around AI development and copyright. 🔗 Read More: https://reut.rs/48T89yj #AI #LawAndTechnology #CopyrightLaw

AI and copyright The Copyright Clearance Center states: "AI outcomes are strengthened by reliance on responsibly sourced copyrighted works. CCC is expanding its licenses, including opt-in, voluntary, collective licensing to address market needs regarding the use of copyrighted content in AI systems". So what does this mean for us? This is a complex situation that we are all needing to navigate. CCC has arranged a webinar to explain their stance on this topic - check it out: https://lnkd.in/exU_qsKE

The UK Government has launched a consultation on copyright in the AI era, aiming to provide legal certainty for creators and AI developers. This initiative looks to balance enabling AI innovation while ensuring creators are fairly compensated and protected. Why This Matters: Unclear copyright laws hinder both sectors. Creators struggle to control and monetise their work, while AI developers face legal uncertainties when training models on copyrighted materials, slowing innovation and investment. Key Proposals: *Copyright Exceptions for AI Training - Allow AI developers to access copyrighted materials while enabling creators to reserve rights. *Transparency Rules - Mandate disclosure of datasets used in AI development. *Licensing Frameworks - Support fair licensing deals between creators and developers. *Rights Protection - Explore safeguards against deepfake imitations and digital replicas Key Takeaways for developers: *Developers may gain clearer legal rights to use copyrighted materials for AI model training, reducing current legal ambiguity. *Commercial access could be allowed under specific licensing terms, ensuring compliance while supporting innovation. *Transparency Requirements - Developers might be required to disclose the datasets used in AI training. This could add an admin burden, but enhance trust and accountability. *Licensing and Fair Use Agreements - A standardised licensing framework could simplify obtaining permissions, making it easier to negotiate terms with rights holders. *Data Use Compliance - Developers will need to ensure their AI models adhere to new copyright regulations, including protection against unauthorised digital replicas or deepfake imitations. *Global Impact Potential - The UK’s approach could set an international precedent, so developers should stay informed about how these rules could influence AI projects globally. What do you think? How should copyright adapt to AI-driven innovation? #CreativeIndustries #AIDevelopers #Copyright #Consultation https://lnkd.in/ea3C6j7n

DisputeSoft has leveraged generative AI to create an exclusive video about the future of AI and its effect on copyright law. Watch the video here. https://lnkd.in/g5vrDdqB #AI #copyrightinfringement #softwaredisputesexperts #disputesoft

Navigating the Evolving Landscape of Copyrights and Trademarks As we approach 2025, the convergence of copyright, trademarks, and Generative AI presents a complex terrain. Generative AI has transformed content creation, empowering users to craft novel material effortlessly. Yet, concerns arise regarding its potential use of copyrighted works without proper authorization, raising questions about compensation and permissions for AI training. In 2024, legal actions in the U.S. and the U.K. highlighted these issues. Some cases have been settled privately, but others are still contested. These ongoing legal battles could influence future copyright regulations, potentially imposing tighter restrictions on AI’s use of copyrighted material. Amidst these changes, AI investments may shift toward regions with more lenient copyright laws, or platforms may introduce opt-out features for content creators, allowing them to exclude their works from AI training. The year 2025 might stands as a pivotal year in unfolding this dynamic landscape, where the trajectory of copyright laws, AI advancement, and intellectual property rights continues to evolve. Numerous opportunities for CFOs and legal professionals to safeguard their stakeholders against potential data losses and intellectual property infringements. #DataProtection #LegalTech #CFO #LegalProfessionals #AIRegulations #Innovation #AICompliance

In a recent article, the Chamber of Progress—whose members are mostly generative AI (GAI) companies—urges Congress to shield GAI cos. from liability when their systems generate infringing results. The Copyright Alliance supports the responsible, ethical, and respectful use and development of GAI while the Chamber of Progress’ proposal is the antithesis of that. Learn about the Copyright Alliance’s position from its AI policy paper here: https://bit.ly/3VLUIIN