Catching unhealthy content material, and farming from house


Massive Tech is surprisingly unhealthy at catching, labeling, and eradicating dangerous content material. In concept, new advances in AI ought to enhance our potential to try this. In follow, AI isn’t superb at deciphering nuance and context. And most automated content material moderation techniques have been skilled with English knowledge, that means they don’t perform nicely with different languages.

The current emergence of generative AI and enormous language fashions like ChatGPT signifies that content material moderation is prone to turn out to be even tougher. 

Whether or not generative AI finally ends up being extra dangerous or useful to the web data sphere largely hinges on one factor: AI-generated content material detection and labeling. Learn the complete story.

—Tate Ryan-Mosley

Tate’s story is from The Technocrat, her weekly e-newsletter providing you with the within monitor on all issues energy in Silicon Valley. Join to obtain it in your inbox each Friday.

For those who’re considering generative AI, why not try:

+ How you can spot AI-generated textual content. The web is more and more awash with textual content written by AI software program. We want new instruments to detect it. Learn the complete story.

+ The within story of how ChatGPT was constructed from the individuals who made it. Learn our unique conversations with the important thing gamers behind the AI cultural phenomenon.

+ Google is throwing generative AI at every little thing. However consultants say that releasing these fashions into the wild earlier than fixing their flaws may show extraordinarily dangerous for the corporate. Learn the complete story.

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