Pauliina Hepola’s Post

Today's introduction of groundbreaking legislation in the U.S. to require transparency in the use of copyrighted works to train #GenAI models is acknowledgement of the important role that provenance plays for #ResponsibleAI.

No time to rest for the Copyright-Community (waiting for the Second Draft of the CoP:)): The UK government has today (17 December) announced a 10-week consultation, concluding on 25 February next year, "to clarify copyright law as it seeks to support the growth of the creative and artificial intelligence (AI) sectors while maintaining customary protections to intellectual-property owners". According to the announcement, the purpose of the consultation is to provide clear guidelines on the use of copyright-protected material in AI training, balancing innovation with safeguarding the rights of content creators. No question: VAUNET will also be closely involved here.

A good summary of the legal and business implications of uncertainty around use of copyrighted works to train AI. "AI developers are now at a crossroads. On the one hand they face protracted litigation from copyright content owners and a significant increase in risk of copyright infringement and a rejection of the fair use defense following Warhol. . . . they also face the crossroads of corporate and institutional clients reluctant to adopt the use of generative AI in the workplace given current litigation." Calliope Networks answer is to skip the litigation and engage in direct licensing negotiations. And we are here to help. #ai #ethicalai https://lnkd.in/gSY7sNzD

Rep. Schiff's "Generative AI Copyright Disclosure Act" brings to light a vital issue: fair compensation for creators. This legislation not only seeks transparency but also emphasizes the importance of properly rewarding the creative minds whose work powers AI innovations. How can we ensure that as AI reshapes our world, it does so with respect and fairness towards those who inspire and enrich our cultures? Let's consider how we can balance technological growth with honoring and compensating the artists and creators fairly...

AI Regulation: USA - Generative AI Copyright Disclosure Act: This new Federal proposed legislation will improve transparency by mandating that AI companies have to disclose all copyrighted works used in training. Who will lead the charge in introducing the much needed legislation to protect copyright when using AI? We see a race with different proposed bills: federal legislation, local legislation, and global governance coming our way? Who will win and have the "best protection"? Exciting times... https://lnkd.in/dvC-X9ZY

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

Curious about the role of copyright in the development of artificial intelligence? CLA has outlined principles that address the challenges and opportunities that arise when generative AI interacts with copyrighted content.

This is an interesting summary of best practice guidelines for LLM training. Adobe’s Gen AI image model was trained within the principles listed below, so it can be done.

Stability AI is facing two lawsuits in the US that contest the legitimacy of stable diffusion[4]. The plaintiff in the Copilot lawsuit is seeking injunctions to shut down these programs in addition to $9 billion. The two main points of contention are that consuming copyrighted content via the internet or other sources infringes on the copyright of the original works, and the results—whether they be source code, text, photos, or music—also violate derivative works. The U.S. Copyright Office is seeking public opinion on this matter. Some respond, "Oh, it's fair use and no problem," while others respond, "Oh, massive piracy and we got to shut this stuff down." Unfortunately, more people share this response to generative AI than you may think. Lets have a look at AI and Copyright cases at: https://lnkd.in/gM8Uu7fX