Intelligent Agent Foundations Forumsign up / log in
Three Oracle designs
post by Stuart Armstrong 581 days ago | Patrick LaVictoire likes this | discuss

A putative new idea for AI control; index here.

An initial draft looking at three ways of getting information out of Oracles, information that’s useful and safe - in theory.

One thing I may need to do, is find slightly better names for them ^_^

Good and safe uses of AI Oracles

Abstract:


An Oracle is a design for potentially high power artificial intelligences (AIs), where the AI is made safe by restricting it to only answer questions. Unfortunately most designs cause the Oracle to be motivated to manipulate humans with the contents of their answers. The second challenge is to get the AI to provide accurate and useful answers. This paper presents three Oracle designs that get around the manipulation and accuracy problems in different ways: the Counterfactually Unread Agent, the Verified Selective Agent, and the Virtual-world Time-bounded Agent. It demonstrates how each design is safe (given that humans stick with the protocols), and allows different types of questions and answers. Finally, it investigates what happens when the implementation is slightly imperfect, concluding the first two agent designs are robust to this, but not the third.

Images of the three designs:

Counterfactually Unread Agent:

Verified Selective Agent:

Virtual-world Time-bounded Agent:



NEW LINKS

NEW POSTS

NEW DISCUSSION POSTS

RECENT COMMENTS

[Delegative Reinforcement
by Vadim Kosoy on Stable Pointers to Value II: Environmental Goals | 1 like

Intermediate update: The
by Alex Appel on Further Progress on a Bayesian Version of Logical ... | 0 likes

Since Briggs [1] shows that
by 258 on In memoryless Cartesian environments, every UDT po... | 2 likes

This doesn't quite work. The
by Nisan Stiennon on Logical counterfactuals and differential privacy | 0 likes

I at first didn't understand
by Sam Eisenstat on An Untrollable Mathematician | 1 like

This is somewhat related to
by Vadim Kosoy on The set of Logical Inductors is not Convex | 0 likes

This uses logical inductors
by Abram Demski on The set of Logical Inductors is not Convex | 0 likes

Nice writeup. Is one-boxing
by Tom Everitt on Smoking Lesion Steelman II | 0 likes

Hi Alex! The definition of
by Vadim Kosoy on Delegative Inverse Reinforcement Learning | 0 likes

A summary that might be
by Alex Appel on Delegative Inverse Reinforcement Learning | 1 like

I don't believe that
by Alex Appel on Delegative Inverse Reinforcement Learning | 0 likes

This is exactly the sort of
by Stuart Armstrong on Being legible to other agents by committing to usi... | 0 likes

When considering an embedder
by Jack Gallagher on Where does ADT Go Wrong? | 0 likes

The differences between this
by Abram Demski on Policy Selection Solves Most Problems | 1 like

Looking "at the very
by Abram Demski on Policy Selection Solves Most Problems | 0 likes

RSS

Privacy & Terms