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}
}
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17 pages