Innovations and emerging trends in applied machine intelligence
Abstract The article presents selected insights from the tenth Dagstuhl Workshop on Applied Machine Intelligence, highlighting recent advances in generative, knowledge‑based, and hybrid AI. It discusses how generative AI is reshaping creative and editorial workflows. The workshop also examined the limitations of LLMs in explanation tasks and quality assurance, emphasising the need for trustworthy, domain‑sensitive and hybrid approaches that combine neural and symbolic methods. Further contributions explore agentic AI as an emerging paradigm for business information systems and revisit abductive reasoning to better integrate formal inference with human‑centred modelling. Together, these perspectives illustrate how hybrid AI can address current shortcomings and support reliable, transparent and domain‑aligned applications across sectors.
Authors
- Johannes Busse (ORCID: https://orcid.org/0000-0002-7051-6198)
- Rigo Wenning (ORCID: https://orcid.org/0000-0001-7408-0611)
- Bernhard G. Humm (ORCID: https://orcid.org/0000-0001-7805-1981)
- Rolf Fricke
- Markus von der Heyde (ORCID: https://orcid.org/0000-0002-6026-082X)
- Steffen Castle (ORCID: https://orcid.org/0000-0002-4538-9270)
- Dave Raggett (ORCID: https://orcid.org/0000-0002-5797-758X)
- Anatol Reibold
- Thomas Hoppe (ORCID: https://orcid.org/0000-0001-7715-5746)
- Fiona Zender (ORCID: https://orcid.org/0009-0001-3952-9572)
Institutions
- Darmstadt University of Applied Sciences (DE)
- University of Applied Sciences Landshut (DE)
- Fraunhofer Institute for Open Communication Systems (DE)
- German Research Centre for Artificial Intelligence (DE)
- European Research Consortium for Informatics and Mathematics (FR)
- Leipzig University (DE)
Publication Details
- Journal
- Informatik-Spektrum
- Published
- 2026-11-09
- DOI
- https://doi.org/10.1007/s00287-026-01618-5
- Primary Topic
- Artificial Intelligence Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00