Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature
The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …
gaining high prominence in academic and industrial discourses. In this article, we explore …
Human-centric artificial intelligence architecture for industry 5.0 applications
JM Rožanec, I Novalija, P Zajec, K Kenda… - … journal of production …, 2023 - Taylor & Francis
Human-centricity is the core value behind the evolution of manufacturing towards Industry
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …
[HTML][HTML] Metrics, explainability and the European AI act proposal
On 21 April 2021, the European Commission proposed the first legal framework on Artificial
Intelligence (AI) to address the risks posed by this emerging method of computation. The …
Intelligence (AI) to address the risks posed by this emerging method of computation. The …
Explainable Artificial Intelligence (XAI) approaches for transparency and accountability in financial decision-making
Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into
financial decision-making, prompting concerns about the transparency and accountability of …
financial decision-making, prompting concerns about the transparency and accountability of …
[HTML][HTML] Quality models for artificial intelligence systems: characteristic-based approach, development and application
The factors complicating the specification of requirements for artificial intelligence systems
(AIS) and their verification for the AIS creation and modernization are analyzed. The …
(AIS) and their verification for the AIS creation and modernization are analyzed. The …
[HTML][HTML] Enriching artificial intelligence explanations with knowledge fragments
J Rožanec, E Trajkova, I Novalija, P Zajec, K Kenda… - Future internet, 2022 - mdpi.com
Artificial intelligence models are increasingly used in manufacturing to inform decision
making. Responsible decision making requires accurate forecasts and an understanding of …
making. Responsible decision making requires accurate forecasts and an understanding of …
On calibration of graph neural networks for node classification
Graphs can model real-world, complex systems by representing entities and their
interactions in terms of nodes and edges. To better exploit the graph structure, graph neural …
interactions in terms of nodes and edges. To better exploit the graph structure, graph neural …
[HTML][HTML] Leveraging explainable AI for informed building retrofit decisions: Insights from a survey
D Leuthe, J Mirlach, S Wenninger, C Wiethe - Energy and Buildings, 2024 - Elsevier
Accurate predictions of building energy consumption are essential for reducing the energy
performance gap. While data-driven energy quantification methods based on machine …
performance gap. While data-driven energy quantification methods based on machine …
Regulating Explainability in Machine Learning Applications--Observations from a Policy Design Experiment
N Nahar, J Rowlett, M Bray, ZA Omar… - The 2024 ACM …, 2024 - dl.acm.org
With the rise of artificial intelligence (AI), concerns about AI applications causing unforeseen
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
On the Explainability of Financial Robo-Advice Systems
Significant investment and development have been made in integrating artificial intelligence
(AI) into finance applications. However, the opacity of AI systems raises concerns about …
(AI) into finance applications. However, the opacity of AI systems raises concerns about …