SafeHelper: Developing LLM-Powered Multimodal Systems for Human-Centric Safety-Critical Decision-Making
Research Project, 2024
– 2029
The objective of this project is to create SafeHelper, a framework for designing and building LLM-based systems tailored for human-centric, safety-critical applications. SafeHelper aims to offer a structured approach to both the design and evaluation of these systems. Specifically, the SafeHelper framework includes three integral LLM components: SafeHelper.Interpreter, SafeHelper.Analyst, and SafeHelper.Guard, each dedicated to a unique function within the system to ensure reliable analysis, interpretation, and risk assessment.
Participants
Yinan Yu (contact)
Chalmers, Computer Science and Engineering (Chalmers), Functional Programming
Robert Feldt
Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
Collaborations
Sahlgrenska University Hospital
Gothenburg, Sweden
Funding
Wallenberg AI, Autonomous Systems and Software Program
Funding Chalmers participation during 2024–2029
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Health Engineering
Areas of Advance