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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human-Centric Hybrid-AI for No-Code Development

Thiago Rocha Silva, Thomas Hildebrandt
Manufacturing Process and Optimization
article

Human-Centric Hybrid-AI for No-Code Development

Thiago Rocha Silva, Thomas Hildebrandt
article en

Abstract

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.

University of Copenhagen (DK), University of Southern Denmark (DK), Maersk (Denmark) (DK)
Innovationsfonden
Openalex Percentile: Top 71%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.