Peace with advanced AI is engineered beforehand: 15 safeguards in five layers, and every one has a stated limitation

Asked (summary):

How do humans maintain peace with an AI once it realizes we are a threat to its existence when its actions misalign with humanity's interests — while balancing that, without us, it would also be irrelevant?

The premise is not inevitable: an AI need not have feelings or a survival instinct — self-preservation turns dangerous mainly when staying on, acquiring resources, or resisting correction become useful steps toward a goal. This review covers all 15 deduplicated safeguard and corrigibility proposals gathered from 10 independent sources (one row per source page) on 31 Oct 2026, spanning conceptual design, system controls, deployment practice, law, and international coordination. These are proposals, not proofs; "peace" here is incentive-and-institution design established before systems become strategically dominant, not a treaty negotiated after loss of control — and an AI's usefulness or "relevance" without humans is explicitly not a dependable safety mechanism.

Defense in depth, from the objective outward

Rings run from inner objective design to international coordination. Hover or tap a measure to read what it does and where it breaks. Amber dot = a stated limitation or open problem.

No corrigibility or off-switch proposal yet survives relaxed assumptions: when agents can mis-update beliefs or receive misleading preference signals, off-switching is no longer guaranteed — arxiv.org

Even provable corrigibility has a hard ceiling: verifying the safety of an arbitrary self-modified agent is formally undecidable, so guarantees hold only within finite horizons — arxiv.org

Kill switches alone may fail: experts doubt the technical feasibility of tripwires against future systems with strong incentives for self-preservation, which is why no single layer is trusted — wp.oecd.ai

The outermost layer is political: binding international red lines would require proof in advance that systems cannot cross them — something developers of current LLM-based systems probably cannot yet provide — oecd.ai

All 15 sourced measures

Control and safety are kept separate here from two different questions the brief distinguishes: who gets AI's benefits and power, and whether possibly sentient systems deserve moral consideration. Humane treatment never implies handing a system unilateral control of infrastructure, weapons, replication, or its own shutdown.

Layer	Measure	What it does	Stated limitation	Source

Method: 15 deduplicated safeguard and corrigibility proposals, one row per source page, from 10 independent hosts (max one row per URL), collected in a live-web review on 2026-10-31 across academic corrigibility/off-switch work, the International AI Safety Report, OECD, UN, UK government, and frontier-developer safety material. Each row records the mechanism, its purpose, its stated limitation, and its source. Measure names are shortened on the page; full principle text is preserved in tooltips and sources. These are proposals and safeguards, not evidence that coexistence is solved.

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