This is a news story, published by The Atlantic, that relates primarily to CSAM news.
For more CSAM news, you can click here:
more CSAM newsFor more Ai policy and regulations news, you can click here:
more Ai policy and regulations newsFor more news from The Atlantic, you can click here:
more news from The AtlanticOtherweb, 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
child pornography. 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 abuse images news, AI hack 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 usersThe Atlantic
•67% Informative
Hackers may be using Muah . AI 's chatbots to create child-sexual-abuse material, or CSAM .
Security expert Troy Hunt says tens of thousands of prompts to create CSAM may be in the data set.
Hackers have used AI software to generate sexually exploitative images of real individuals, he says.
The age of cheap AI-generated child abuse is very much here, Cox says.
Federal law prohibits computer-generated images of child pornography when such images feature real children.
The site adjusted the filter to stop automatically blocking accounts, but to still prevent images from being generated based on keywords.
VR Score
68
Informative language
64
Neutral language
65
Article tone
informal
Language
English
Language complexity
37
Offensive language
offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
short-lived
External references
7
Source diversity
5
Affiliate links
no affiliate links