Transition to Sustainable Human-Centric Education in Emerging Artificial Intelligence Industry 5.0 DOI
David Oyekunle,

Morgan Nwaiku,

Ugochukwu Okwudili Matthew

et al.

Advances in higher education and professional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 37 - 76

Published: Dec. 18, 2024

The wave of European Commission conception for the Fifth Industrial Revolution, or Industry 5.0, a new paradigm towards sustainability that will use technology to transform world is essentially proliferating. In this paper, authors exceptionally advanced generative artificial intelligence (AI) in development conversational education pedagogy Society 5.0 by describing technological underpinnings, guiding principles, essential values, and key components education. Conversational AI was projected with help user-centric ChatGPT-5 .The goal provide educational technologist best practices experimentally validated guidelines measuring, enhancing, maintaining human centeredness. It anticipated would incorporate more sophisticated multimodal features, allowing it process produce text addition images, voice, maybe video. Creating intricate visual material, helping video content offering dynamic captivating user experiences

Language: Английский

Enhancing mechanical and bioinspired materials through generative AI approaches DOI Creative Commons
Silvia Badini, Stefano Regondi, Raffaele Pugliese

et al.

Next Materials, Journal Year: 2024, Volume and Issue: 6, P. 100275 - 100275

Published: July 31, 2024

Language: Английский

Citations

8

A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing DOI
Chao Zhang, Qingfeng Xu,

Yongrui Yu

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 92, P. 102883 - 102883

Published: Sept. 26, 2024

Language: Английский

Citations

7

Systematic analysis of generative AI tools integration in academic research and peer review DOI Open Access
Hussain Salman, Muhammad Aliif Ahmad, Roliana Ibrahim

et al.

Online Journal of Communication and Media Technologies, Journal Year: 2025, Volume and Issue: 15(1), P. e202502 - e202502

Published: Jan. 6, 2025

While sparking a big debate among academics, generative artificial intelligence (GAI) tools are becoming integral to academic research, holding the potential transform traditional research and peer review methods. This systematic literature investigates emergent role of GAI in workflow scholarly publications by analyzing 44 articles. The process identifying most relevant was done following preferred reporting items for reviews meta-analyses method. findings provide thorough understanding how is currently being utilized various aspects process, including concerns, limitations, proactive measures better employ these effectively. Our suggests need more develop appropriate policies guidelines, enhance researchers’ literacy through targeted training, ensure ethical use boost productivity quality.

Language: Английский

Citations

0

Generative AI and Large Language Models in Industry 5.0: Shaping Smarter Sustainable Cities DOI Creative Commons
Giulio Salierno, Letizia Leonardi, Giacomo Cabri

et al.

Encyclopedia, Journal Year: 2025, Volume and Issue: 5(1), P. 30 - 30

Published: Feb. 21, 2025

This review paper examines how Generative AI (GAI) and Large Language Models (LLMs) can transform smart cities in the Industry 5.0 era. Through selected case studies portions of literature, we analyze these technologies’ impact on industrial processes urban management. The targets GAI as an enabler for optimization predictive maintenance, underlining domain experts work with LLMs to improve municipal services citizen communication, while addressing practical ethical challenges deploying technologies. We also highlight promising trends, reflected real-world ranging from factories city-wide test-beds identify pitfalls avoid. Widespread adoption still faces that include infrastructure lack specialized knowledge a limitation proper implementation. While enable new citizens cities, they expose certain privacy issues, which aim investigate this study. Finally, way forward, suggests future research directions covering frameworks long-term societal impacts. Our is starting point pioneers developers navigate complexity LLM integration, balancing demands technological innovation one hand responsibility other.

Language: Английский

Citations

0

The ChatGPT application on quality management: a comprehensive review DOI
Abdülkadir Atalan

Journal of Management Analytics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: May 20, 2025

Language: Английский

Citations

0

Empowering Manufacturing: Generative AI Revolutionizes ERP Application DOI Open Access

Sridhar Mahadevan

International Journal of Innovative Science and Research Technology (IJISRT), Journal Year: 2024, Volume and Issue: unknown, P. 593 - 595

Published: March 16, 2024

This article delves into the transformative implications of integrating state-of-the-art Generative AI technologies Enterprise Resource Planning (ERP) applications within manufacturing industry. With landscape experiencing rapid evolution, there is a growing imperative for adaptive and intelligent systems to optimize efficiency, productivity, decision- making processes. Through exploration AI's natural language processing capabilities, this unveils new frontier in smart manufacturing, where ERP are empowered redefine conventional paradigms catalyze innovation. Furthermore, examines impact on supply chain management, leveraging its capacity process extensive textual data enhanced demand forecasting, inventory optimization, risk management. enhances adaptability resilience ecosystems, enabling them navigate dynamic market conditions with agility.

Language: Английский

Citations

2

Crafting the Future DOI

T. Premavathi,

Ayush Shekhar,

Aayush Raj

et al.

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 199 - 217

Published: April 26, 2024

Crafting the Future: OpenAI's Strategies and Sustainable Innovation examines innovative ideas in ever-changing AI landscape. The chapter highlights safety, transparency, social benefit. This lets us examine organization's research environment, focused on sophisticated language models their groundbreaking applications numerous domains. Sustainability is prioritised over scientific advancement an inclusive ecosystem at OpenAI. discusses collaborative frameworks, partnerships, community involvement to democratise ethically deploy AI. proactive approach consequences ethics, including bias reduction development's ethical problems, also examined. Future informs academics, politicians, enthusiasts about impact global laws standards. trajectory poses ethical, collaborative, revolutionary questions throughout chapter. Beyond cutting-edge technology, OpenAI seeks change world.

Language: Английский

Citations

1

A non-intrusive and adaptive Digital Twin as enabling learning ecosystem for the development of predictive models in manufacturing environments DOI
Álvaro García

Published: Jan. 1, 2024

dos personas sin las que este relato

Citations

0

A non-intrusive and adaptive Digital Twin as enabling learning ecosystem for the development of predictive models in manufacturing environments DOI Creative Commons
Álvaro García

Published: Jan. 1, 2024

dos personas sin las que este relato

Citations

0

Exploring the adoption and long-term effects of ChatGPT in a sustainable supply chain DOI
Pardis Roozkhosh, Alireza Pooya,

Azam Modares

et al.

Flexible Services and Manufacturing Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Language: Английский

Citations

0