You're pledging to donate if the project hits its minimum goal and gets approved. If not, your funds will be returned.
Translating a published AI safety framework into an interactive web tool that helps individuals quantify their AI displacement risk and navigate career transitions using rational data instead of uncertainty.
The primary goal is to build the Job Security Compass, a professional-grade web application based on my published forecasting framework, "Job Security in the Age of AI" (DOI: 10.5281/zenodo.18821831).
Users will be able to decompose their specific roles into five core dimensions (Cognitive, Physical, Social, Sensory, and Adaptive), estimate their Human Advantage in these dimensions, and apply socio-economic adoption factors. The tool will process these inputs to provide a personalized Risk Timeline and guidance for career orientation.
I will achieve this by developing a polished, responsive, client-side application that performs seamlessly across desktop, tablet, and mobile interfaces. By designing this as a browser-based tool, I can prioritize a rapid, secure launch without the overhead of user account databases. The code will be open-sourced under the AGPLv3 license to ensure it remains a transparent public good.
The $25,000 grant supports three months of dedicated execution to deliver a professional-grade, browser-based tool.
Engineering & Logic: Rigorous implementation of the heuristic model and weighted scoring system into a fast, interactive client-side engine.
UX/UI Design & Accessibility: Translating complex socio-economic variables into an intuitive interface, ensuring the tool is visually clear and optimized for all devices (Desktop, Tablet, and Mobile).
Deployment & Infrastructure: Public launch, domain setup, CI/CD pipelines, and robust hosting infrastructure.
Minimum ($15,000) vs. Full Funding ($25,000): The minimum funding will ensure a functional, rigorously engineered tool with the core forecasting logic intact. Reaching the full funding goal allows for the necessary time to achieve the high level of UX polish and device-agnostic accessibility required for the tool to reach a broad audience.
I am the sole developer. I am a Senior Software Engineer with over two decades of experience, primarily focused on algorithms, backend architecture, DevOps, and cloud engineering, alongside building clean, minimalist web projects. I developed the underlying mathematical framework for this tool during my project work for the 2025 AI Safety, Ethics and Society course at the Center for AI Safety. My engineering background ensures the calculator's core logic and deployment will be robust and precisely implemented, while the project's UX design budget will help translate that complex logic into an accessible, responsive interface. I currently have the schedule flexibility to dedicate myself entirely to this project, ensuring it is built to a professional standard.
There are two primary risks. First is distribution: even if the tool is highly useful, it might simply fail to find its audience in the crowded internet landscape. Second is execution of the UI: translating a complex heuristic model into a simple interface is difficult. Given my preference for minimalist design, the resulting app might be functional but lack the mainstream visual polish needed for viral adoption. However, if the project fails to gain widespread traction, the outcome is still a net positive: the community receives a fully functional, AGPLv3-licensed mathematical engine and open-source codebase that other researchers can fork or integrate into their own platforms.
$0. This is currently an independent project.