Projects from Prof. Dr. Axel-Cyrille Ngonga Ngomo
TRR 318-2 - Constructing Explainability
The scope of the EU right to explanation has fueled the need to improve eXplainable Artificial Intelligence capacities aiming at strengthening the rights of individuals affected by AI-based recommendations. Among other purposes, explanations serve the right to contest an AI output and protect humans from being left out of control. However, ...
Duration: 01/2026 - 06/2029
TRR 318-2 - Project C07: Co-construction-following large language models for explaining
C07 studies the adjustment of LLM training processes and knowledge integration to enable the successful co-construction of explanations. Scaffolding and monitoring are operationalized via a novel fine-tuning process that teaches LLMs to explain dialogically while modeling dialog states. A novel co-construction-aware RAG approach exploits these ...
Duration: 01/2026 - 06/2029
TRR 318-2 - Project INF: Retrieval-augmented information provision
INF provides foundations for all projects. These include services and infrastructure for data access, evaluation, and management as well as cross-cutting research questions. In the first funding period, the focus was on assessing the quality of explanations, modeling explanatory dialog sequences as well as ontology and tool development. In the ...
Duration: 01/2026 - 06/2029
Verbundprojekt: SPARQL-ML -- Maschinelles Lernen für die Optimierung von SPARQL-Abfragen über zentralisierte und verteilte RDF-Wssensgraphen; Teilprojekt: Maschinelles Lernen für die Optimierung von SPARQL Abfragen
Duration: 11/2024 - 10/2027
SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems
Current systems that incorporate AI technology mainly target the introduction phase, where a core component is training and adaptation of AI models based on given example data. SAIL’s focus on the full life-cycle moves the current emphasis towards sustainable long-term development in real life. The joint project SAIL addresses both basic research ...
Duration: 08/2022 - 07/2026
Verbundprojekt: NEBULA -- Nutzerzentrierte KI-basierte Erkennung von Fake News und Fehlinformationen; Teilprojekt: Detektion von Fake News und Fehlinformationen durch schwache Wissensgraphen und künstliche Intelligenz
The goal of this interdisciplinary project is the transparent, AI-based detection of Fake News and false information in security-relevant situations and a presentation of the detection results that is suitable for the target audience and boosts the audiences media literacy.Funding programThis work is supported by the German Federal Ministry of ...
Duration: 07/2022 - 12/2025
Colide: Co-Training and Co-Regulierung für Industriedaten
Ziel von COLIDE ist die Entwicklung von Auto-Multi-View-Learning-Verfahren (AutoMVL) für heterogene Industriedaten. Dazu werden multi-view learning (MVL) und automatisiertes maschinelles Lernen (AutoML) erstmals kombiniert. Damit werden insbesondere KMUs in die Lage versetzt, den Mehrwert der simultanen Nutzung verschiedenster ML-Methoden auf ...
Duration: 05/2021 - 04/2024
