Grant Attorneys at Law PLLC’s Post

Microsoft is “bullish” on the benefits of artificial intelligence (AI), but also “clear-eyed” about the challenges and risks associated with it, according to the company’s deputy general counsel Antony Cook. Read the article for more: https://ow.ly/5BC150QOOOk #AI #Copyright

A new battleground has emerged between content owners and the technology sector on the right to use their data to train AI models. On trial is whether the “fair use” clause of US copyright law justifies the use of copyrighted works to train AI models. The decision on this case will set a critical precedent for the future of how AI models are trained and more broadly the future of generative AI. #AI #GenAI #newyorktimes #fairuse https://lnkd.in/dTYd6kbR

News Update U.S. Lawmaker Introduces Bill to Create AI Transparency On April 9, U.S. Representative Adam Schiff of California introduced a bill titled the Generative AI Copyright Disclosure Act of 2024. The main purpose of the proposed legislation is to require entities that create or significantly alter training datasets used for building generative AI systems to submit a notice to the Register of Copyrights, providing details about any copyrighted works included in those datasets. #ai #genai #news https://lnkd.in/dY6ZKNEV

 The significance of transparency in the development and use of Generative Artificial Intelligence (AI), particularly in relation to copyright issues are many, below is a summary of the attached article, that you can read for yourself. Here are the key points: Transparency in Training Data: There is an emphasist in regards to the need for AI companies to be open about the materials used to train their AI systems. Output Labeling: The article suggests a necessity to inform the public when content is generated by AI, though this topic is reserved for a future blog post. Copyright Infringement Concerns: The article highlights the increasing number of copyright infringement lawsuits against AI companies and the secrecy surrounding the training data. Importance of Transparency: It argues that transparency can ease the legal process for copyright owners and support ethical AI development. The article also gives several examples of lawsuits where copyright owners have shown that the unauthorized use of their works in training AI systems. It concludes by advocating for transparency rules to protect copyright owners and ensure responsible AI development.

Are you using #generativeai in your organization? If so, Frank Palermo gives you a lot to think about in this story. "While we may have questioned the legality of incorporating content that wasn’t explicitly owned or licensed, we all turned a blind eye in the name of innovation and creativity. The power of the generative AI platforms was too mesmerizing to worry about the source and legality of the data.  That may all begin to change. Let's take a look at AI copyright infringement and some other related issues." Well done, Frank.

The UK Intellectual Property Office (UKIPO) led discussions to create a voluntary code of practice on copyright and Generative AI ("Gen AI") but failed to reach an agreement. The working group could not reach consensus on the use of copyright-protected works to train Gen AI models. This outcome disappointed both the creative and technology industries, as they sought clarity on protecting works and developing future technologies. The creative industry expressed concerns about the large-scale use of works to train Gen AI models, while AI developers emphasized the need for access to diverse datasets. The UK Government plans to lead further engagement with right holders and AI sectors to find an effective approach for partnership. This announcement coincides with a consultation series initiated by the UK Information Commissioner's Office on how UK Data Protection Laws should apply to the development and use of Gen AI.

Something to keep in mind as time progresses and AI becomes more prevalent in every day life. Tools such as Squarespace now allow website creators and owners to choose whether to let AI crawlers use content to train models. Would you allow your personal work be used to train AI? Or should AI be trained on non-copyrighted data?

If you are in the tech area, please see this article by Scott Douglass and Dominic Rota about a dispute between the makers of generative AI platforms and the owners of copyrighted materials who say that the AI was trained using their works:

Could this case shape the future of generative AI? The ongoing legal dispute between OpenAI and the New York Times (NYT) regarding copyright infringement is poised to have far-reaching consequences. These consequences could affect all AI creators and generative AI applications. Each decision made in this case holds substantial implications, highlighting its pivotal role in shaping the future of generative AI. Read more from Forbes below. https://bit.ly/47cGw2e #MilianLegalGroup #AI #CopyrightInfringement

No easing back in from the holidays as everyone scrambles to analyze what the NYT v. OpenAI case means for generative AI in 2024. Below are some excerpts from my discussion with TechTarget on the pending action. With valuations of AI companies reaching centicorn levels and continued public announcements of lucrative data licensing deals, the stakes are rising on both sides of the fair use vs. infringement debate.