Human-Centric Hybrid-AI for No-Code Development
This position paper introduces our view on a research agenda around human-centric hybrid-AI for reliable and explainable model-driven software engineering in the field of end-user, no-code development of process-aware information systems. Our key hypothesis is that reliable no-code development of such systems can be provided by using a hybrid-AI approach combining generative AI with explainable symbolic AI models through an intermediate formal, yet human-centric and understandable domain-specific language for the specification of behavioral scenarios.
Authors
- Thiago Rocha Silva (ORCID: https://orcid.org/0000-0001-8961-4663)
- Thomas Hildebrandt (ORCID: https://orcid.org/0000-0002-7435-5563)
Institutions
- University of Copenhagen (DK)
- University of Southern Denmark (DK)
- Maersk (Denmark) (DK)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1145/3696630.3731669
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovationsfonden