The IABG Innovation Centre serves as a development incubator for IABG’s portfolio, focusing on key trends such as digitalisation, artificial intelligence, robotics, and sensor networks in the mobility and security domains.
As part of the safeAI program, the Innovation Centre explores how cutting-edge AI algorithms can be aligned with current and emerging AI assessment frameworks. Given the rapid pace of advancement in this field, new AI frameworks, software libraries, tools, and updates are continuously released. These must be systematically reviewed, evaluated, and integrated into our workflows where appropriate.
Standardisation also plays a critical role in shaping the future of AI assurance services. IABG is actively contributing to this domain and is leading the development of ISO/IEC TS 25223, which provides guidance and requirements for the uncertainty quantification of AI systems.
This internship will focus on the research and implementation of uncertainty quantification methods for generative AI applications. The developed approaches will be evaluated through a use case in image recognition. The overarching goal is to deploy a vision-language model and demonstrate how uncertainty quantification techniques can enhance the reliability of its outputs for the selected task.
