Making AI Reasoning and Actions More Reliable with SMT and Lean
[Online] AI Horizons · NUS Artificial Intelligence Institute
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About this talk
Language models give convincing answers, but how do we check that their reasoning is correct? The talk follows one question from natural language to a solver-checked result: translating claims into logical constraints that SMT solvers such as Z3 can check, using solver feedback to revise answers, and detecting when the translation itself is wrong. It closes with Lean-verified policy checkers that evaluate an agent’s tool calls before they execute.
- Venue
- NUS Artificial Intelligence Institute
- Series
- [Online] AI Horizons
- Date
- Oct 29, 2026
- Format
- Online
- Host
- Dr Dianbo Liu, National University of Singapore
- Slides
- 101 · PowerPoint, 4.8 MB
- Event
- Event page
Cite this talk
@misc{singh2026reliableaitalk,
title={Making {AI} Reasoning and Actions More Reliable with {SMT} and {Lean}},
author={Vikash Singh},
howpublished={Invited talk, AI Horizons series, NUS Artificial Intelligence Institute (online)},
month=oct,
year={2026},
note={Slides},
url={https://vikash-singh.me/talks/formal-verification-reliable-ai}
}