Newstex Blog
AI tools such as ChatGPT, Perplexity, and Gemini now have deep research features. Their developers have made bold claims about their capabilities, so we decided to see how they would handle questions about highly specialized topics.
The UK government has unveiled an ambitious strategy for AI. Find out how this plan aims to transform Britain's economy.
The British government's new Code of Practice for Cyber Security of AI provides voluntary guidelines on secure design, development, and transparency to help organizations safely leverage AI technology.
The use of copyrighted material to train generative AI has often been justified on the grounds that the practice falls under the fair use doctrine, but a recent ruling from the US District Court for the District of Delaware may make that argument harder to sustain.
The US Copyright Office's ongoing study of AI and copyright has significant implications for content creators, publishers, and media companies. The second part of their three-part report focuses on copyrightability and the extent to which AI-generated content is eligible for copyright protection.
The rise of generative AI poses a host of legal considerations. The United States Copyright Office recently published a report on digital replicas that could influence policy going forward.
There's been a lot of concern over the widespread use of copyrighted works to train generative AI. In response, many developers now offer ways for creatives to keep their work out of training sets. But is this actually an effective strategy?
Generative AI is all the rage, but while it's a powerful tool, it takes care to get the best results.
Generative AI relies on extensive datasets to teach it about the world, and many of them include copyrighted content. Many creators worry that their work is being used to create the tools that could one day take their jobs, and some of them are now striking back by creating 'poisoned' content that can impede an AI's generative capabilities.
