Returning Rescuers to the Frontline: AI-Assisted Development and Open Public-Private Collaboration for Fire Safety Equipment Smart Scheduling System
- Time
- 2026-08-08 15:20 ~ 15:50
- Speaker
- Josh (杜佳憲)
- Room
- TR411
- Co-write
Abstract
Target Audience Developers, public sector tech enthusiasts, and open-source advocates interested in Civic Tech, Gen-AI assisted development, and workflow automation.
Pain Points & Context Public sectors often face severe labor shortages. The Taitung County Fire Bureau handles nearly 10,000 fire safety equipment declarations and inspection schedules annually. This tedious administrative burden heavily distracts personnel from frontline rescue and training.
AI Application & Open Source Practice Through the "Civic Tech Sandbox" initiative by the Ministry of Digital Affairs, the Fire Bureau collaborated with civic tech team "CivicFlow" to build a "Smart Scheduling System." A key highlight is the heavy utilization of Gen-AI tools (such as Cursor and LLMs) during development to translate complex regulations into automated algorithms, showcasing the potential of Gen-AI in empowering Civic Tech and fostering public-private open collaboration.
Outline (30 mins)
- 00-05m Pain points of rural firefighting administrative overload.
- 05-15m AI-powered Civic Tech: Translating regulations into open algorithms via LLMs.
- 15-25m Implementation & Lessons: Public-private collaboration in a government sandbox.
- 25-30m Q&A and Future: What's next for Gen-AI in public services.
Speaker
Josh (杜佳憲)
任職於消防前線單位，長期關注科技救災、公共服務創新與公民科技（Civic Tech）領域。致力於將現代生成式 AI 技術、自動化流程與開源精神導入傳統公務體系。曾實質參與數位發展部公民科技試驗場域計畫，期盼透過跨領域的公私協力，為基層消防單位打造具備數位韌性的智慧化系統，讓科技真正赋能公共服務。
A firefighter dedicated to disaster response technology and Civic Tech. Holding a Master's degree in Environmental Economic Information Management, he focuses on integrating generative AI, workflow automation, and open-source principles into the public sector to build digitally resilient systems through public-private collaboration.