Objectives

Objectives
RobustifAI aims to develop a rigorous design and deployment methodology tailored for reliable, robust and trustworthy GenAI.

RobustifAI has the following specific objectives:

01
Harden the GenAI system development process and the methods within to become neural-symbolic with improved performance and robustness.
02
Enhance GenAI adaptability and self-monitoring ability for evolving or new environments.
03
Retrofit GenAI system development process to ensure human centricity.
04
Enable sustainable GenAI solutions across diverse applications.

RobustifAI focuses on foundation models used in the context of human cyber-physical systems (HCPS) which are complex systems that combine computation, networking, humans and physical processes to monitor and control real-world environments with applications in many sectors such as robotics, automotive, healthcare, industrial automation and IT infrastructure.

HCPS represent the most demanding systems to address the robustness of GenAI due to their immediate physical impact, criticality, real-time as well as human interaction requirements

Schema-HCPS

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