ENEXA: Efficient Explainable Learning on Knowledge Graphs

Duration: 10/2022 - 09/2025

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

NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen

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

TRR 318 - A dialog-based approach to explaining machine learning models (Subproject B01)

In Project B01, researchers are working on an artificial intelligence (AI) based system that can properly respond to questions at the level of language. In medicine, for example, the system should be able to explain a proposed treatment to a doctor and respond to patients’ questions and concerns regarding their treatment plan. The computer ...

Duration: 07/2021 - 06/2025

TRR 318 - Constructing Explainability

In unserer digitalen Gesellschaft nehmen die algorithmischen Ansätze (wie das maschinelle Lernen) rasant an Komplexität zu. Diese erschwert es den Bürger:innen, die Assistenz nachzuvollziehen und die von Algorithmen vorgeschlagenen Entscheidungen zu akzeptieren. Als Antwort auf diese gesellschaftliche Herausforderung hat die Forschung begonnen, ...

Duration: 07/2021 - 06/2025