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Provably safe systems: the only path to controllable AGI

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arxiv 2309.01933 v1 pith:PU2QFK5W submitted 2023-09-05 cs.CY cs.AIcs.LG

classification cs.CYcs.AIcs.LG
keywords pathargueonlyprovablysafeadvancedagisartificial
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates

    cs.CL 2025-06 conditional novelty 6.0 of 10

    A multi-agent debate framework with four long-term memory designs reduces unsafe response rates on HarmBench and CoSafe, with the strongest results when debate is combined with learned guardrails.

  2. Safety Features for a Centralised AGI Project

    cs.CY 2025-06 conditional novelty 5.0 of 10

    A policy proposal for seven safety features, including bottom-up pause authority, congressional-chartered board oversight, risk monitoring, and verification technology, to reduce catastrophic risks in a centralized US...

  3. No-Knowledge Alarms for Misaligned LLMs-as-Judges

    cs.AI 2025-09 conditional novelty 4.0 of 10

    A no-knowledge alarm can prove, without an answer key, that at least one of several LLM judges fails a user-specified per-label accuracy requirement, by showing every possible ground-truth label assignment is infeasible.

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