Future of Textile: Sustainable Manufacturing &amp; Prediction via ChatGPT

Rathore, Bharati

doi:10.56614/eiprmj.v12i1y23.253

Cited by 13 publications

(4 citation statements)

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“…Hence, in the case of the pilot collaboration carried out in 2019 between Google and Stella McCartney, ML technology achieved a comprehensive analysis of environmental impact along the entire supply chain by examining raw materials, resources and production processes, facilitating more informed decision-making (Candeloro, 2020). Moreover, recent studies on the application of ChatGPT have shown how it can support the sustainable management of the fashion supply chain, providing suggestions to textile companies on how to optimise water management, recommending more sustainable production processes, identifying anomalies in the production line and providing insights into the environmental impact of companies (Rathore, 2023;Xu et al, 2023). In addition to the proposed overview of the functions of AI in T&C, the performed literature review identified several criteria for clustering AI in fashion.…”

Section: Methodsmentioning

confidence: 99%

A.I. Into Fashion Processes

Rizzi,

Casciani

2024

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The article aims to provide a comprehensive understanding of Artificial Intelligence (AI) and its integration into fashion processes, focusing on the research, design, development, and manufacturing stages. First, it offers an overview of AI evolution, from its early developments to the contemporary advanced Machine and Deep learning models, attempting to tackle the challenge of ambiguous terminology and aiming to deal with the different interpretations of AI capabilities. Subsequently, a review of the perspectives on the integration of AI tools within fashion processes will be presented. This overview will underscore the growing need for industries to undergo a conscious technological transformation, adopting AI toward a more sustainable and responsible fashion evolution.

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Section: Methodsmentioning

confidence: 99%

A.I. Into Fashion Processes

Rizzi,

Casciani

2024

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“…In addition, some work looked at the "perceptions" of ChatGPT about its future role in some disciplines and professions, such as accounting [26], libraries [27], academia in general [27], medicine [15], medical research [28], health care [29] digital leadership and technology integration [30] or textile manufacturing [31]. Several of these papers make use of the interactive nature of ChatGPT and frame their research as a conversation about the topic [11,12,15,32].…”

Section: The Use Of Chatgpt In Academic Disciplinary Researchmentioning

confidence: 99%

ChatGPT and the Generation of Digitally Born “Knowledge”: How Does a Generative AI Language Model Interpret Cultural Heritage Values?

Spennemann

2023

Knowledge

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The public release of ChatGPT, a generative artificial intelligence language model, caused wide-spread public interest in its abilities but also concern about the implications of the application on academia, depending on whether it was deemed benevolent (e.g., supporting analysis and simplification of tasks) or malevolent (e.g., assignment writing and academic misconduct). While ChatGPT has been shown to provide answers of sufficient quality to pass some university exams, its capacity to write essays that require an exploration of value concepts is unknown. This paper presents the results of a study where ChatGPT-4 (released May 2023) was tasked with writing a 1500-word essay to discuss the nature of values used in the assessment of cultural heritage significance. Based on an analysis of 36 iterations, ChatGPT wrote essays of limited length with about 50% of the stipulated word count being primarily descriptive and without any depth or complexity. The concepts, which are often flawed and suffer from inverted logic, are presented in an arbitrary sequence with limited coherence and without any defined line of argument. Given that it is a generative language model, ChatGPT often splits concepts and uses one or more words to develop tangential arguments. While ChatGPT provides references as tasked, many are fictitious, albeit with plausible authors and titles. At present, ChatGPT has the ability to critique its own work but seems unable to incorporate that critique in a meaningful way to improve a previous draft. Setting aside conceptual flaws such as inverted logic, several of the essays could possibly pass as a junior high school assignment but fall short of what would be expected in senior school, let alone at a college or university level.

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“…In response to the growing emphasis on sustainable architecture, ChatGPT can contributes to integrating sustainable design principles (Rathore, 2023;Kooli, 2023;Adams et al, 2023). Designers engage with the model to explore sustainable strategies, materials, and energy-efficient solutions (Srivastava, 2023;Rani et al, 2023;Yadav and Sondhi, 2023).…”

Section: Sustainability Integrationmentioning

confidence: 99%

“…In recent times, the realm of building construction has witnessed a notable rise in the significance of sustainability and environmental design (Rathore, 2023;Kooli, 2023;Adams et al, 2023). As the global community grapples with challenges like climate change, resource depletion, and environmental degradation, architects, engineers, and designers are increasingly turning to advanced technologies to bolster the sustainability of construction projects (Rane et al, 2023;Yadav and Sondhi, 2023).…”

Section: Sustainability and Environmental Designmentioning

confidence: 99%

Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

Rane,

Choudhary,

Rane

2023

IJARP

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This research paper investigates the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, in architectural design and engineering. The comprehensive study explores various aspects, including applications, frameworks, challenges, and prospective developments in the context of architectural design and architectural engineering. In architectural design, the paper investigates the transformative impact on Architectural Theory, highlighting how generative AI fosters creativity and innovation in design thinking. The Design Process is scrutinized, showcasing how AI models streamline ideation, iteration, and collaboration among design teams. Furthermore, the research examines the influence of generative AI in Interior Design, Urban Design and Planning, and considers nuanced aspects of Cultural and Social factors, elucidating how these technologies contribute to inclusive and context-sensitive design practices. In architectural engineering, the study assesses the integration of generative AI in Structural Engineering, demonstrating its potential to optimize and innovate structural analysis and designs for enhanced safety and efficiency. It explores applications in Building Systems and Construction Management, illustrating how AI can streamline project workflows and resource allocation. The impact of generative AI on compliance with Building Codes and Regulations is analyzed, emphasizing its potential for error reduction and adherence to standards. Additionally, the research probes into the influence of AI in Materials and Construction Technology, highlighting advancements in material selection and construction methodologies. The paper also investigates the role of generative AI in promoting Sustainability and Environmental Design, showcasing its potential to optimize energy efficiency, reduce environmental impact, and enhance overall sustainability. Finally, the paper outlines the challenges and future directions for development to fully harness the potential of generative AI in shaping the future of architectural design and engineering.

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Future of Textile: Sustainable Manufacturing & Prediction via ChatGPT

Cited by 13 publications

References 0 publications

A.I. Into Fashion Processes

A.I. Into Fashion Processes

ChatGPT and the Generation of Digitally Born “Knowledge”: How Does a Generative AI Language Model Interpret Cultural Heritage Values?

Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

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