this post was submitted on 21 Nov 2024
151 points (97.5% liked)

Technology

59562 readers
2769 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago
MODERATORS
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
151
Child safety org launches AI model trained on real child sex abuse images (arstechnica.com)
submitted 2 days ago by [email protected] to c/[email protected]
77 comments fedilink hide all child comments
 

Today, a prominent child safety organization, Thorn, in partnership with a leading cloud-based AI solutions provider, Hive, announced the release of an AI model designed to flag unknown CSAM at upload. It's the earliest AI technology striving to expose unreported CSAM at scale.

you are viewing a single comment's thread
view the rest of the comments
[โ€“] [email protected] 1 points 1 day ago* (last edited 1 day ago) (1 children)

If everyone has access to the model it becomes much easier to find obfuscation methods and validate them. It becomes an uphill battle. It's unfortunate but it's an inherent limitation of most safeguards.

[โ€“] [email protected] 2 points 1 day ago

You're probably right. I'm not sure if it's a good idea to walk close to the edge with things like this, though. Every update to the detection model could change things and get them in jail.... So I certainly wouldn't play a cat and mouse game with something that has several years of jailtime attached... But then I don't really know the thought process of the average pedo. And AI image detection comes with problems anyways. In the article they say it detected 6 million pictures already. While keeping quiet about the rate of false positives. We know people have gotten in serious trouble for (false) claims. And I also wouldn't want to be the Fediverse admin who has to go through thousands of flagged pictures and look at them and decide which is which. With consequences attached... Maybe a database of hashes would be the only option. That doesn't detect new pictures, but at the same time it comes without flase positives and you can't draw conclusions from hash values.