Authors Sue Meta for AI Training
This is a news story, published by TechCrunch, that relates primarily to Meta news.
News about Ai policy and regulations
For more Ai policy and regulations news, you can click here:
more Ai policy and regulations newsTechCrunch news
For more news from TechCrunch, you can click here:
more news from TechCrunchAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai policy and regulations, you might also like this article about
copyright disciplines. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest copyright law news, copyright information news, news about Ai policy and regulations, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
AI copyright lawsuitsTechCrunch
•Technology
Technology
Law professors side with authors battling Meta in AI copyright case | TechCrunch

86% Informative
Authors are suing Meta for allegedly training its Llama AI models on e-books without permission.
The tech giant says the training is fair use, but the authors lack standing to sue.
The brief calls Meta 's fair use defense a "breathtaking request for greater legal privileges than courts have ever granted human authors".
VR Score
88
Informative language
86
Neutral language
84
Article tone
formal
Language
English
Language complexity
72
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
short-lived
External references
4
Source diversity
2
Affiliate links
no affiliate links