35
Understanding Why LLM's Choose To Behave Badly (arxiv.org)
submitted 10 months ago by to c/technology@lemmy.world
2 comments fedilink hide all child comments
 

In order to make safer AI, we need to understand why it actually does unsafe things. Why:

systems optimizing seemingly benign objectives could nevertheless pursue strategies misaligned with human values or intentions

Otherwise we run the risk of playing games of whack-a-mole in which patterns that violate our intended constraints on AI's behaviors may continue to emerge given the right conditions.

[Edited for clarity]

you are viewing a single comment's thread
view the rest of the comments
[–] [S] 3 points 10 months ago

The material might seem a bit dense and technical, but it presents concepts which may be critical to include in conversations around AI safety, and safety conversations are among the most important we should be having.

  • permalink
  • fedilink
  • source
    •