Conducting Design Science Research in Society 5.0–Proposal of an Explainable Artificial Intelligence Research Methodology

C Daase, K Turowski - … Conference on Design Science Research in …, 2023 - Springer
Every technological or scientific advance is accompanied by a change in social structures,
moral concepts, laws and education. As more and more people gain access to the digital …

A Modeling Approach for Measuring the Performance of a Human-AI Collaborative Process

G Sankaran, MA Palomino, M Knahl, G Siestrup - Applied Sciences, 2022 - mdpi.com
Despite the unabated growth of algorithmic decision-making in organizations, there is a
growing consensus that numerous situations will continue to require humans in the loop …

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A Teern, N Elgendy, M Kelanti, H Tammia, T Päivärinta - 2024 - techrxiv.org
This study conducts a systematic literature review to explore the current state of the art of
evolvable KGs in manufacturing, which have an important role in the era of Industry 4.0 and …

Design and Knowledge Requirements for Human-Machine Hybrid Intelligence in Autonomous Driving Systems

N Elgendy, A Teern, P Seppänen… - TKTP 2024: Annual …, 2024 - oulurepo.oulu.fi
Hybrid intelligence in autonomous driving systems can potentially augment human-machine
capabilities and lead to better data-driven decision-making. Hence, various decision …

[PDF][PDF] From Dynamic to Evolvable Knowledge Graphs in Manufacturing: Systematic Literature Review on Learning Approaches

A Teern, N Elgendy, M Kelanti, H Tammia, T Päivärinta - semantic-web-journal.net
This systematic literature review investigates how evolvable KGs enhance manufacturing
under Industry 4.0 and 5.0, identifying key technologies and gaps. Evolvable KGs adapt to …