English

Provably safe systems: the only path to controllable AGI

Computers and Society 2023-09-06 v1 Artificial Intelligence Machine Learning

Abstract

We describe a path to humanity safely thriving with powerful Artificial General Intelligences (AGIs) by building them to provably satisfy human-specified requirements. We argue that this will soon be technically feasible using advanced AI for formal verification and mechanistic interpretability. We further argue that it is the only path which guarantees safe controlled AGI. We end with a list of challenge problems whose solution would contribute to this positive outcome and invite readers to join in this work.

Keywords

Cite

@article{arxiv.2309.01933,
  title  = {Provably safe systems: the only path to controllable AGI},
  author = {Max Tegmark and Steve Omohundro},
  journal= {arXiv preprint arXiv:2309.01933},
  year   = {2023}
}

Comments

17 pages

R2 v1 2026-06-28T12:12:43.417Z