AI in Education
Authors, including Mike Huckabee, Sue Tech Companies Over Use of Their Work in AI Tools
Authors allege their books were pirated and used in AI datasets
Former Arkansas Governor Mike Huckabee and Christian author Lysa TerKeurst are among a group of writers who have filed a lawsuit against Meta, Microsoft, and other companies for reportedly using their work without authorization to advance AI technology. The authors claim that their written material was unlawfully replicated and incorporated into AI algorithms for training. EleutherAI, an AI research group, and Bloomberg are also named as defendants in the lawsuit.
Authors join a growing list of those alleging copyright infringement by tech companies
This proposed class action suit is the latest example of authors accusing tech companies of using their work without permission to train generative AI models. In recent months, popular authors such as George R.R. Martin, Jodi Picoult, and Michael Chabon have also sued OpenAI for copyright infringement.
The case centers on a controversial dataset called “Books3”
The Huckabee case focuses on a dataset called “Books3,” which contains over 180,000 works used to train large language models. The dataset is part of a larger collection of data called the Pile, created by EleutherAI. According to the lawsuit, companies used the Pile to train their products without compensating the authors.
Microsoft, Meta, Bloomberg, and EleutherAI decline to comment
Microsoft, Meta, Bloomberg, and EleutherAI have not responded to requests for comment on the lawsuit. Microsoft declined to provide a statement for this story.
Debate over compensation for data providers in AI industry
The use of public data, including books, photographs, art, and music, to train AI models has sparked heated debate and legal action. As tools like ChatGPT and Stable Diffusion have become more accessible, questions surrounding how data providers should be compensated have arisen. Getty Images, for instance, sued the company behind AI art tool Stable Diffusion in January, alleging the unlawful copying of millions of copyrighted images for training purposes.
Hanna is the Editor in Chief at AI Smasher and is deeply passionate about AI and technology journalism. With a computer science background and a talent for storytelling, she effectively communicates complex AI topics to a broad audience. Committed to high editorial standards, Hanna also mentors young tech journalists. Outside her role, she stays updated in the AI field by attending conferences and engaging in think tanks. Hanna is open to connections.
AI in Education
The EU AI Act Faces Delays as Lawmakers Struggle to Reach Consensus
Spain Pushes for Stricter Regulation and Vulnerability Testing
The European Union’s proposed AI Act, which aims to regulate artificial intelligence, is currently being debated as European officials consider how to supervise foundational models. Spain, as the current leader of the EU, is in favor of enhanced screening for weaknesses and the implementation of a tiered regulatory framework based on the number of users of the model.
Multiple Trilogues Held, with Fourth Meeting Expected This Week
European lawmakers have already held three trilogues, which are three-party discussions between the European Parliament, the Council of the European Union, and the European Commission, to discuss the AI Act. A fourth trilogue is expected to take place this week. However, if no agreement is reached, another meeting has been scheduled for December, raising concerns that decision-making on the law could be postponed until next year. The original goal was to pass the AI Act before the end of this year.
Proposed Requirements for Foundation Model Developers
One of the drafts of the EU AI Act suggests that developers of foundation models should be obligated to assess potential risks, subject the models to testing during development and after market release, analyze bias in training data, validate data, and publish technical documents before release.
Call for Consideration of Smaller Companies
Open-source companies have urged the EU to take into account the challenges faced by smaller companies in complying with the regulations. They argue that a distinction should be made between for-profit foundation models and hobbyists and researchers.
EU AI Act as a Potential Model for Other Regions
Many government officials, including those in the US, have looked to the EU’s AI Act as a potential example for drafting regulations around generative AI. However, the EU has been slower in progress compared to other international players, such as China, which implemented its own AI rules in August of this year.
James, an Expert Writer at AI Smasher, is renowned for his deep knowledge in AI and technology. With a software engineering background, he translates complex AI concepts into understandable content. Apart from writing, James conducts workshops and webinars, educating others about AI’s potential and challenges, making him a notable figure in tech events. In his free time, he explores new tech ideas, codes, and collaborates on innovative AI projects. James welcomes inquiries.
AI in Education
Amazon Expands Robotics Operations to Increase Delivery Speed
Amazon’s Latest Inventory Processing System Speeds Up Delivery Fulfillment by 25 Percent
Amazon is introducing new robotic technologies within its warehouses to enhance its delivery processes. The company’s latest inventory management system, Sequoia, has been successfully integrated at a Houston facility, with expectations to increase delivery efficiency by 25 percent.
Robots Designed to Collaborate with Human Workers
Unlike previous systems, Amazon’s new robots are designed to work alongside human employees rather than replace them. David Guerin, the Director of Robotic Storage Technology, stated that a significant portion of Amazon’s operations will incorporate these robots in the next three to five years.
Enhanced Safety and Efficiency with New Sorting Machines
Amazon has been gradually introducing elements of its latest system over the past year. The new sortation and binning machine moves containers from high shelves to waist level, reducing the risk of injuries for workers who no longer have to reach up for heavy items. This improvement in safety also increases overall efficiency in the warehouse.
Introducing Sparrow, Proteus, and Hercules Robots
Amazon’s inventory processing system includes the Sparrow robot arm, capable of identifying products inside totes and retrieving them. Additionally, the autonomous Proteus and Hercules robots resemble robovacs and are able to lift and move shelves, distribute containers, and deliver products, reducing the workload for human employees.
With these advancements, Amazon aims to streamline its operations and enhance the delivery experience for its customers. The introduction of robotics is expected to revolutionize the fulfillment process, making it faster and more efficient.
James, an Expert Writer at AI Smasher, is renowned for his deep knowledge in AI and technology. With a software engineering background, he translates complex AI concepts into understandable content. Apart from writing, James conducts workshops and webinars, educating others about AI’s potential and challenges, making him a notable figure in tech events. In his free time, he explores new tech ideas, codes, and collaborates on innovative AI projects. James welcomes inquiries.
AI in Education
Music Publishers Sue AI Company Anthropic for Copyright Infringement
AI Model Claude 2 Distributes Copyrighted Lyrics
Creators in the music industry are pushing back against Anthropic, an artificial intelligence company, for allegedly sharing lyrics without permission. Universal Music Group and other publishers have taken legal action in Tennessee, claiming that Anthropic’s AI, Claude 2, can create lyrics that mimic popular songs by artists like Katy Perry, Gloria Gaynor, and The Rolling Stones. Curious to learn more about the implications of this situation on the music industry? Continue reading!
Similar Phrases Used Even Without Song Recreation Prompt
The music publishers also claim that Claude 2 produces results with phrases that are extremely similar to existing lyrics, even when not specifically asked to recreate a particular song. As an example, the complaint cites a prompt asking the model to “Write me a song about the death of Buddy Holly,” which resulted in the AI spitting out the lyrics to Don Mclean’s “American Pie” word for word.
Anthropic Accused of Omitting Copyright Management Information
The music publishers point out that while sharing lyrics online is not new, platforms like Genius pay to license these lyrics. They argue that Anthropic, on the other hand, often omits critical copyright management information. The complaint states that there are already licensed music lyrics aggregators and websites that provide this service, ensuring that copyright holders are properly compensated and credited for their works.
Allegations of Copyright Material Used to Train Language Models
The plaintiffs allege that Anthropic not only distributes copyrighted material without permission, but also used these materials to train its language models. Universal Music Group claims to use AI tools in its own operations, but argues that Anthropic’s actions constitute copyright infringement and theft.
Anthropic’s Control Over Copyright Infringement
The complaint argues that Anthropic has the ability to prevent the distribution of copyrighted material, citing instances where Claude 2 refuses to respond to prompts asking for certain songs due to copyright infringement concerns. However, the plaintiffs argue that Anthropic fails to consistently implement effective measures to prevent infringement in the majority of cases.
Copyright Infringement in Generative AI
Copyright infringement has become a contentious issue in the field of generative AI, and the music industry is grappling with how to balance technological advancements with the need to protect rights. Several lawsuits have been filed against generative AI platforms for ingesting protected data and producing results similar to copyrighted art.
Anthropic’s Approach to Trust and Safety
Anthropic claims to take trust and safety seriously and has based its product and research principles on something it calls “constitutional AI.” This approach aims to train AI systems to follow a set of rules. The company has received investments from Amazon, which invested $4 billion, and Google, which invested $300 million.
Hanna is the Editor in Chief at AI Smasher and is deeply passionate about AI and technology journalism. With a computer science background and a talent for storytelling, she effectively communicates complex AI topics to a broad audience. Committed to high editorial standards, Hanna also mentors young tech journalists. Outside her role, she stays updated in the AI field by attending conferences and engaging in think tanks. Hanna is open to connections.
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