Stuart_Armstrong(Stuart Armstrong)

Con­nect­ing the good reg­u­la­tor the­o­rem with se­man­tics and sym­bol grounding

Carte­sian frames as gen­er­al­ised models

Gen­er­al­ised mod­els as a category

Coun­ter­fac­tual con­trol incentives

Short sum­mary of mAIry’s room

Syn­tax, se­man­tics, and sym­bol ground­ing, simplified

The ethics of AI for the Rout­ledge En­cy­clo­pe­dia of Philosophy

Ex­tor­tion beats brinks­man­ship, but the au­di­ence matters

Hu­mans are stun­ningly ra­tio­nal and stun­ningly irrational

Knowl­edge, ma­nipu­la­tion, and free will

De­hu­man­i­sa­tion *er­rors*

An­thro­po­mor­phi­sa­tion vs value learn­ing: type 1 vs type 2 errors

Tech­ni­cal model re­fine­ment formalism

Model splin­ter­ing: mov­ing from one im­perfect model to another

Learn­ing hu­man prefer­ences: black-box, white-box, and struc­tured white-box access

AI safety as feather­less bipeds *with broad flat nails*

Learn­ing hu­man prefer­ences: op­ti­mistic and pes­simistic scenarios

Strong im­pli­ca­tion of prefer­ence uncertainty

“Go west, young man!”—Prefer­ences in (im­perfect) maps

Learn­ing Values in Practice