Entscheidungsb?ume do it yourself (DIY) – Datenbasiertes Entscheiden
In the project "BaeumeDIY," we are developing an online self-learning course that will be published on the KI-Campus platform. This course is specifically designed for prospective teachers and active educators in secondary levels who wish to engage in a detailed and interactive exploration of the AI method Decision Trees. The focal point of the ...
Duration: 07/2021 - 02/2022
Funded by: BMBF
TRR 318 - Constructing Explainability
In unserer digitalen Gesellschaft nehmen die algorithmischen Ans?tze (wie das maschinelle Lernen) rasant an Komplexit?t 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
Funded by: DFG
TRR 318 - Adaptive Explanation Generation (Subproject A01)
While explaining something, people generally take their conversation partner’s reactions into account and adapt their explanation accordingly. In Project A01, researchers from linguistics, psychology, and computer science are studying two components of this adjustment: cognitive adaptivity and interactive adaptivity. In cognitive adaptivity, the ...
Duration: 07/2021 - 06/2025
Funded by: DFG
TRR 318 - Monitoring the understanding of explanations (Subproject A02)
When something is being explained to someone, the explainee signals their understanding – or lack thereof – to the explainer with verbal expressions and other non-verbal means of communication, such as gestures and facial expressions. By nodding, the explainee can signal that they have understood. Nodding, however, can also be meant as a request to ...
Duration: 07/2021 - 06/2025
Funded by: DFG
TRR 318 - Integrating the technical model into the partner model in explanations of digital artifacts (Subproject A04)
Project A04 investigates the different perspectives on the contents of explanations, i.e. what an explanation is about, and how they may change in the course of an explanatory interactive dialogue. An explanation about a technical artifact (which might be a hammer as well as a digital game) can encompass two different perspectives: On the one hand, ...
Duration: 07/2021 - 06/2025
Funded by: DFG
TRR 318 - Contextualized and online parametrization of attention in human–robot explanatory dialog (Subproject A05)
In Project A05, researchers from the areas of linguistics, psychology, and computer science are investigating attention in human-robot explanatory dialog. They are addressing questions including: where do humans focus their attention when a robot explains a task to them? How can robots direct their counterpart’s attention to achieve the goal of the ...
Duration: 07/2021 - 06/2025
Funded by: DFG
TRR 318 - Project Area RTG - Integrated Research Training Group
The Research Training Group (RTG) provides a framework for the structured qualification of doctoral and post-doctoral researchers to prepare them to conduct interdisciplinay research. The RTG offers an extensive workshop program to help early career researchers develop their professional and personal skills and organizes events such as writing ...
Duration: 07/2021 - 12/2025
Funded by: DFG
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
Funded by: DFG
TRR 318 - Subproject C1 - Healthy distrust in explanations
The focus is on crucial overarching properties of decisions and explanations. The aim is to investigate the important question of how a person’s critical attitude towards an AI system can be supported by fostering a healthy distrust in intelligent systems, and whether and how this attitude can be reinforced by means of explainable machine learning ...
Duration: 07/2021 - 12/2025
Funded by: DFG