What automated modeling can do for us -- and what we can do for automated modeling

Conceptual models are a commonly used way to represent knowledge, processes, and requirements in all kinds of organizations. Creating them requires the collaboration of modelling experts and domain experts, often over multiple sessions. For this reason, they are quite expensive to create and take up a significant share of the time planned for projects. With the recent emergence of powerful artificial intelligence (AI) systems, researchers and practitioneers alike start to automate the modelling process more and more. While this reduces the time spent on modelling, it also introduces new challenges and risks. Chief among those are; 1) concerns about privacy and confidentiallity, when sending information to third parties, 2) questions of corectness and completeness of models, and 3) sustainability and environmental aspects of using AI. This talk will discuss the new possibilities AI in conceptual modelling provides, present the challenges it brings, and highlight ideas for addressing these challenges.

Speakers.:

Julian Neuberger

Postdoc at DTU Compute

jtone@dtu.dk

Hugo A. López

Associate Prof. at DTU Compute

hulo@dtu.dk

Arranged by: Oraganizer

Finn Gustafsson, IDA-IT

( figu@dtu.dk )