What is human-centered about human-centered AI? A map of the research landscape

T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

Exploring the transition from techno centric industry 4.0 towards value centric industry 5.0: A systematic literature review

E Enang, M Bashiri, D Jarvis - International Journal of Production …, 2023 - Taylor & Francis
This systematic literature review synthesises the literature on human centric IN 4.0 and IN
5.0 while exploring driving forces behind the transition from technocentric IN 4.0 to value …

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 …

Human-centered artificial intelligence: The superlative approach to achieve sustainable development goals in the fourth industrial revolution

D Mhlanga - Sustainability, 2022 - mdpi.com
Artificial intelligence (AI) is currently being developed by large corporations, and
governments all over the world are yearning for it. AI isn'ta futuristic concept; it is already …

[HTML][HTML] Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects

Y Wan, Y Liu, Z Chen, C Chen, X Li, F Hu… - Journal of Manufacturing …, 2024 - Elsevier
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

[HTML][HTML] Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0 …

K Nikiforidis, A Kyrtsoglou, T Vafeiadis, T Kotsiopoulos… - ICT Express, 2024 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is crucial for the transition from the fourth to
fifth industrial revolution, providing transparency and fostering user confidence in Artificial …

Map** the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach

A Domenteanu, B Cibu, C Delcea - Sustainability, 2024 - mdpi.com
Over the past years, machine learning and big data analysis have emerged, starting as a
scientific and fictional domain, very interesting but difficult to test, and becoming one of the …

Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing

J González-González, S García-Méndez… - IEEE …, 2022 - ieeexplore.ieee.org
Concerns about the effect of greenhouse gases have motivated the development of
certification protocols to quantify the industrial carbon footprint (cf). These protocols are …

Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis

AN Ciucu-Durnoi, C Delcea, A Stănescu… - Sustainability, 2024 - mdpi.com
The rapid advancement of technology has led to significant milestones in industrial
progress, surpassing previous capabilities and presenting new challenges for adaptation …

A methodology to build interpretable machine learning models in organizations

S Sajid - 2023 - essay.utwente.nl
Data in an organization is table-stakes. But, knowing how to manage and effectively
optimize the data to make better business decisions is what makes an organization set itself …