Decision-Grade AI @ Stanford ⚡️ A Buildathon on LLM Trust

AI is becoming powerful enough to act. Now it needs to become trustworthy enough to deserve that power. Let’s create a sandbox for AI Trust together. As LLMs and AI agents move from generating text to influencing real decisions, the cost of confident mistakes gets much higher. A polished answer isn’t enough. We need systems that can verify claims, evaluate evidence, surface uncertainty, detect fragile reasoning, and decide when an output is trustworthy enough to act on. Decision-Grade AI is a Stanford-based panel discussion + buildathon bringing together technical builders to prototype that missing layer. Over the course of the event, we will have an exclusive panel discussion and buildathon. Opening Talk: Kiana Jafari, Executive Director @ Stanford Center for AI Safety Featured Panelists: Bryant McCombs, GTM @ OpenAI Clark Barrett, Computer Scientist @ Stanford Wesley Deng, Senior Researcher @ Microsoft Sarath Swaminathan, Research Scientist @ IBM What You’ll Build: AI is getting better at producing answers. We want to build the systems that determine whether those answers deserve to drive decisions. SCHEDULE: 10:30–11:00 AM | Check-in, coffee & team mixing 11:00 AM–11:40 AM | Technical kickoff & demos 11:40 AM - 12:00 PM | Opening Talk - Kiana Jafari 12:00–1:00 PM | Expert Panel Discussion 1:00–1:15 PM | Challenge reveal & team formation 1:15–3:00 PM | Build with mentor support 3:00–4:00 PM | Final demos, judging & awards Teams will tackle one of five core challenges - → Claim verification - break AI outputs into testable claims and check them against evidence → Citation integrity - determine whether sources actually support what a model says → Trust scoring - create signals and interfaces that communicate reliability and uncertainty → Robustness + bias - test how answers change under different framing, assumptions, or prompts → Safer agents - design monitoring and verification systems before AI agents take consequential actions We’ll start with a…

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