Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds great potential in reshaping diverse facets architectural engineering. This research investigates the profound influence AI technologies on structural engineering, HVAC (Heating, Ventilation, and Air Conditioning) electrical plumbing fire protection sustainability, net zero, green building design, information modeling (BIM), urban planning, project management. In ChatGPT's capacity to analyse extensive datasets simulate intricate structures expedites design process, ensuring integrity while optimizing materials costs. it aids devising energy-efficient systems climate control solutions, significantly contributing sustainable practices. Similarly, AI's capabilities enhance optimization both safety reliability. ChatGPT assists creating efficient layouts suppression compliance with regulations. Moreover, plays a pivotal role advancing sustainability design. By evaluating environmental factors suggesting eco-friendly designs, fosters development environmentally responsible structures. domain BIM, facilitates seamless collaboration, automates model generation, improves clash detection, streamlined execution. Nevertheless, integration engineering presents challenges. Ethical concerns, data security, necessity for skilled professionals interpret AI-generated insights are significant issues. delves into these contribution challenges effectively harness AI, paving way transformative era

Язык: Английский

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Empirical assessment of ChatGPT’s answering capabilities in natural science and engineering

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 29, 2024

Abstract ChatGPT is a powerful language model from OpenAI that arguably able to comprehend and generate text. expected greatly impact society, research, education. An essential step understand ChatGPT’s study its domain-specific answering capabilities. Here, we perform systematic empirical assessment of abilities answer questions across the natural science engineering domains. We collected 594 on topics 198 faculty members five faculties at Delft University Technology. After collecting answers ChatGPT, participants assessed quality using scheme. Our results show are, average, perceived as “mostly correct”. Two major trends are rating significantly decreases (i) educational level question increases (ii) evaluate skills beyond scientific knowledge, e.g., critical attitude.

Язык: Английский

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A ChatGPT-MATLAB framework for numerical modeling in geotechnical engineering applications

Computers and Geotechnics, Год журнала: 2024, Номер 169, С. 106237 - 106237

Опубликована: Март 19, 2024

Язык: Английский

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Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

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

Язык: Английский

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Large Language Model Evaluation Criteria Framework in Healthcare: Fuzzy MCDM Approach

SN Computer Science, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 2, 2025

Язык: Английский

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Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT

Buildings, Год журнала: 2025, Номер 15(7), С. 1144 - 1144

Опубликована: Март 31, 2025

Frequent ambiguities in contract terms often lead to costly legal disputes and project delays the construction industry. Large Language Models (LLMs) offer a promising solution, enhancing accuracy reducing misinterpretations. As studies pointed out, many professionals use LLMs, such as ChatGPT, assist with their professional tasks at minor level, information retrieval from Internet content editing. With access regulation database, LLMs can automate interpretation. However, lack of Artificial Intelligence tools tailored industry regulations hinders adoption sector. This research addresses gap by developing deploying publicly available specialised chatbot using ChatGPT language model. The development process includes architectural design, data preparation, vector embeddings, model integration. study uses qualitative quantitative methodologies evaluate chatbot’s role resolving contract-related issues through standardised tests. chatbot, trained on construction-specific information, achieved an average score 88%, significantly outperforming ChatGPT’s 36%. integration domain-specific promises revolutionise practices increased precision, efficiency, innovation. These findings demonstrate potential optimised models transform practices.

Язык: Английский

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Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in building and construction industry: applications, framework, challenges, and future scope

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The infusion of generative artificial intelligence (AI), as exemplified by models such ChatGPT and Bard is proving to be a revolutionary catalyst within the building construction sector. This exploration delves into myriad applications, establishes conceptual framework, confronts challenges, delineates prospective trajectory harnessing AI across diverse stages lifecycle. In domain project management scheduling, contribute optimal resource allocation, task sequencing, timeline optimization, thereby elevating overall efficiency delivery. Design optimization equally pivotal, assists architects engineers in crafting innovative designs that concurrently adhere functional aesthetic criteria. predictive prowess fortifies risk management, furnishing stakeholders with insights potential risks effective mitigation strategies. Meanwhile, realm cost estimation budgeting, enhanced accuracy speed offered optimize financial planning allocation. Supply chain benefits from streamlined processes driven insights, ensuring timely cost-effective procurement materials. Generative linchpin quality control, identifying defects deviations standards enhance quality. Real-time data analysis strengthens site monitoring safety protocols, enabling proactive secure working environment. Collaboration communication teams are augmented AI, facilitating seamless information exchange decision-making processes. Predictive maintenance asset undergo transformation, algorithms predicting equipment failures optimizing schedules. Furthermore, integration tackles imperative energy sustainability Models like bard significantly for conservation sustainable practices. paper also explores incorporation reality (AR), virtual (VR), Building Information Modeling (BIM). Ethical concerns, privacy, robust cybersecurity measures necessitate careful consideration. As industry embraces these innovations, substantial improvements efficiency, sustainability, outcomes poised unfold.

Язык: Английский

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Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This research delves into the utilization of advanced artificial intelligence (AI), specifically ChatGPT or Bard, to improve strategies for monitoring and controlling water air pollution. Given escalating concerns surrounding environmental degradation its repercussions on public health, there is a pressing demand innovative pollution management techniques. investigation centers harnessing capabilities ChatGPT, an language model, address real-time data analysis, decision-making, engagement challenges within realm quality. Incorporating cutting-edge methods in monitoring, such as sensor networks, satellite imagery, IoT devices, this aims obtain comprehensive understanding dynamics. Nevertheless, substantial volume presents processing extracting meaningful insights. employed intelligent tool proficient comprehending natural queries delivering insightful analyses. integration streamlines interpretation intricate sets, enabling swift decision-making control authorities. Moreover, assumes pivotal role by serving user-friendly interface disseminating information levels, regulatory measures, preventive actions. Through interactive conversations, it enhances communication between agencies general public, cultivating awareness encouraging participation initiatives. paper underscores significance collaborative human-AI approach tackling multifaceted The also ethical considerations associated with AI-driven emphasizing importance responsible AI implementation. As technologies progress, proposed framework contribute ongoing discourse sustainable involvement. By synergizing state-of-the-art techniques, seeks offer efficacious solution advancing contemporary landscape.

Язык: Английский

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Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The infusion of generative artificial intelligence (AI) stands out as a transformative influence in civil engineering, reshaping conventional methodologies and elevating the effectiveness precision across various domains. This study delves into nuanced impact ChatGPT, potent language model, key realms within engineering: Structural Engineering, Geotechnical Transportation Environmental Water Resources Urban Regional Planning, Materials Coastal Earthquake Engineering. Within ChatGPT assumes central role formulating refining structural designs. By deciphering intricate engineering concepts proposing inventive solutions, assists engineers crafting structures that not only exhibit resilience but also optimize resource utilization. Its proficiency scrutinizing extensive datasets delivering insights positions it an invaluable tool for augmenting integrity safety. Engineering benefits from ChatGPT's aptitude processing interpreting geological geophysical data. Through generation reports analyses, aids recognizing potential risks suggesting mitigation strategies, thereby expediting decision-making geotechnical projects. In realm application involves streamlining traffic flow, devising intelligent transportation systems, overall infrastructure planning. natural capabilities facilitate seamless communication collaboration among diverse stakeholders engaged contributes to evaluation environmental studies, assisting planners making well-informed decisions prioritizing sustainability. Moreover, its capability simulate scenarios formulation effective pollution control measures. leverages data interpretation modeling, enabling precise predictions water flow patterns aiding design efficient management systems. extends contributions where urban development optimizing land use, addressing challenges associated with population growth urbanization. prowess analysis materials enhanced properties, resilient coastal structures, creation earthquake-resistant infrastructure. research paper scrutinizes how integration these disciplines heightens efficiency practices unlocks new avenues innovation, sustainability, face evolving challenges.

Язык: Английский

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

International Journal of Architecture and Planning, Год журнала: 2023, Номер 3(2), С. 92 - 124

Опубликована: Сен. 5, 2023

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

Язык: Английский

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