Like every company, Adobe is figuring out what the boundaries of copyright law and fair use look like in the age of AI, just like the creatives that rely on its products. But at the same time, it’s also making huge investments in and shipping generative AI tools like the Firefly image generator inside of huge mainstream software products like Photoshop and Illustrator.
Source: How Adobe is managing the AI copyright dilemma, with general counsel Dana Rao
Several solutions to the deepfakes problem have been proposed, from crypto watermarks to metadata — none perfect. But an increasing number of news organizations are coalescing around blockchain tech as a means of verifying that content came from a reliable source. Fox became the latest example, announcing today that it partnered with Polygon Labs, a layer-2 blockchain focused on scaling Ethereum, to release an open source protocol for media companies to register their articles, photographs and more.
Source: Fox partners with Polygon Labs to tackle deepfake distrust | TechCrunch
Governor Bill Lee of Tennessee is announcing new legislation around protecting the music industry within the state against the misuse of AI, his office announced late last week. On Wednesday, January 10, Lee will announce the full legislature change alongside state leadership, artists, songwriters, and music industry stakeholders in Nashville. State law currently protects image and likeness, but the upcoming changes will enact further protections tailored to audio.
Source: Nashville vs. AI: Tennessee Governor Plans to Protect the Industry
In a submission to the House of Lords communications and digital select committee, OpenAI said it could not train large language models such as its GPT-4 model without access to copyrighted work. “Because copyright today covers virtually every sort of human expression – including blogposts, photographs, forum posts, scraps of software code, and government documents – it would be impossible to train today’s leading AI models without using copyrighted materials,” said OpenAI in its submission.
Source: ‘Impossible’ to create AI tools like ChatGPT without copyrighted material, OpenAI says
Scraping data off the net is feasible for startup AI companies struggling with funding, as it is cheap and a vast amount of data can be collected quickly and easily. The data also has variety as it includes not just websites and social media posts, but also public records and works created by writers, poets, painters, photographers, coders etc. These are data impossible to collect manually.
Source: Data Scraping AI Companies & Writers Fight to Define Future of AI
Anthropic, founded by former researchers from OpenAI, updated its commercial Terms of Service to spell out its ideals and intentions. By carving out the private data of its own customers, Anthropic is solidly differentiating itself from rivals like OpenAI, Amazon and Meta, which do leverage user content to improve their systems.
Source: Anthropic Says It Won’t Use Your Private Data to Train Its AI – Decrypt
Deepdub specializes in localizing entertainment content and generating multilingual voice clones using AI, showcasing the practical applications of generative AI’s advanced applications, which include having voice actors and celebrities narrate a movie in various languages without losing the nuances and tonal inflections that make their voices special and recognizable.
Source: Deepdub CEO on Power of AI Voice Clones to Reshape Streaming
While custom GPTs built by OpenAI are available through the explore tab of ChatGPT Plus, the store would let users share and monetize their GPTs. OpenAI has said it plans to figure out a way to pay GPT creators based on how much their AI agents on the store are used, but it has not released any other details about the plan.
The Justice Department is closing in on what would be the most consequential federal antitrust lawsuit challenging Apple, which is the most valuable tech company in the world. If the lawsuit is filed, American regulators will have sued four of the biggest tech companies for monopolistic business practices in less than five years.
Source: U.S. Moves Closer to Filing Sweeping Antitrust Case Against Apple
While AI poses challenges to provenance, it could also be part of the solution. AI technologies can be leveraged to identify and verify the provenance of digital content, thus ensuring that creators are appropriately credited for their work. This could prove instrumental in enforcing copyright laws and maintaining ethical standards in the rapidly evolving digital landscape.
Source: AI, Copyright and Provenance: Navigating the Digital Age