Why Ternary Logic, Not Binary, for AI Safety
5 min read · ~1,000 words
Michael Darius Eastwood · Independent AI alignment researcher
Published
Binary classifiers (safe/unsafe) fail because they cannot express uncertainty. A three-state gate, Allow, Investigate, Deny, maps directly to how humans make consequential ethical decisions. This is not a philosophical preference. It is a mathematical necessity derived from balanced ternary arithmetic.
Evidence Anchors: 8 December 2024 manuscript (SHA-256: f0d1f38f) · Infinite Architects published 2 January 2026 (ISBN 978-1806056200) · OSF programme registration 17 January 2026 (DOI 10.17605/OSF.IO/6C5XB) · 19 institutional convergences documented · All claims traceable to canonical numbers block
The verification culture is the product.
Every claim carries dated evidence. Every prediction has a kill condition. Independent verification is invited.
Verify any claim →
Every claim carries dated evidence. Every prediction has a kill condition. Independent verification is invited.
Verify any claim →