The ALADAN project aims to develop an innovative AI-based language framework for defense, addressing challenges like obtaining classified data, with four EU SME partners collaborating.
The "news-polygraph" project, funded by the Federal Ministry of Education and Research (BMBF), aims to develop an AI technology platform to identify targeted disinformation by integrating various software tools.
Quality Assessment and Crowds for Automated Learning.
Researchers from the Quality and Usability Lab have collaborated with Crowdee to assess data, process, and interaction quality of AI systems, incorporating AI methods augmented by crowd-intelligence, which is poised to be a crucial skill for digital transformation and process automation, leading to fruitful collaborations and internationally recognized scientific outputs.
Dr.-Ing. Leonhard Hennig
Advanced Corpus Creation for Automated Summarization Evaluation.
We investigated innovative technologies such as automated summarization for automated customer service, leveraging Crowdee's expertise in AI to generate a high-quality corpus of crowd-generated summaries used for benchmarking commercial APIs and solutions.