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

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

📅 October 10, 2026
🕐 10:30 AM PT
📍 Stanford

About This Event

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. ☕ Food & Drinks: We've got you covered with coffee, water, refreshing drinks, a delicious lunch, and snacks throughout the event. 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 (Lunch Afterwards) 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 **Snacks throughout Teams will tackle one of three core challenges - → Approval Gate → Before You Act → Build Trust Agent We’ll start with a technical kickoff introducing the problem space, example architectures, tools, and build directions. After the expert panel, teams will choose a challenge and build with mentor support before presenting working prototypes in final demos. This…

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Ezio, TokenRouter

Location

📍 Stanford

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