Artificial intelligence and sustainability

Taghikhah, Firouzeh; Erfani, Eila; Bakhshayeshi, Ivan; Tayari, Sara; Karatopouzis, Alexandros; Hanna, Bavly

doi:10.1016/b978-0-323-90508-4.00006-x

Cited by 7 publications

(7 citation statements)

References 52 publications

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“…AI can offer new chances to conquer the huge environmental challenges. For instance, AI can suggest data-driven interventions and strategies to make progress in mitigating climate change [10]. AI can operate strong predictive opportunities and smart grid systems towards managing the renewable energy usage.…”

Section: In Environmental Solutionsmentioning

confidence: 99%

Understanding the Role of Architect in the Artificial Intelligence Era - “An Approach to AIA in Egypt”

Atwa

Saleh

2023

MSA Engineering Journal

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AI is a fast-emerging field and is becoming an essential part of our future. Recently, most of used technologies are somewhat artificially intelligent, where it still needs human involvement to carry out the main part of the task. AI has a significant impact on multiple fields and industries, like IT, cybersecurity, medicine, and manufacturing since it provides them with countless creative opportunities. Compared to the mentioned fields, the development of AI in Architecture is still not commonly used. The dominant idea related to Architecture is that designers will be replaced by smart robots to create art and design buildings. But on the contrary, the open-ended creative results are still preserved for humans only. AI can do endless tasks during Architecture design process requiring human intelligence such as decision-making. Therefore, it is crucial to understand the role, advantages, and disadvantages of this technology within the design process from the viewpoint of professionals. Consequently, a Questionnaire will be held to several Professional Designers, Architects, and Researchers, then a summary of their responses will be reported in this article. The aim is to recognize how AI techniques can affect the Architect`s attitude to the design project.

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Section: In Environmental Solutionsmentioning

confidence: 99%

Understanding the Role of Architect in the Artificial Intelligence Era - “An Approach to AIA in Egypt”

Atwa

Saleh

2023

MSA Engineering Journal

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“…Furthermore, AI is pivotal in formulating efficacious fuel treatment systems, guided by identifying variables with In the Australasian context, where wildfires are intrinsic components of ecosystems and hold profound significance in indigenous lore, the dynamic challenges posed by climate change have mandated a thorough reassessment of conventional wildfire management methodologies. Taghikhah et al [7] undertake an exhaustive review to scrutinize the paradigm-shifting potential of AI-ML in confronting these evolving predicaments. Notably, AI's engagement in bushfire management, dating back to the 1990s with the inception of neural networks and expert systems, has laid the groundwork for remarkable progress.…”

Section: Australasiamentioning

confidence: 99%

“…Australasia's unique ecological makeup, where wildfires are intrinsic components of ecosystems and hold profound significance in indigenous lore, necessitates reevaluating traditional wildfire management and other climatic disasters in the face of climate change, as has been highlighted in varying studies [1,2,29,31,32]. Coherently, Taghikhah et al [7] shed light on the transformative potential of AI-ML in addressing the evolving challenges of bushfire management. AI's involvement in bushfire management has laid the groundwork for remarkable progress in confronting wildfires.…”

Section: Australasiamentioning

confidence: 99%

“…The exploration of AI-ML techniques is essential, more specifically for urban climate change adaptation and sustainable development, due to several compelling reasons that set it apart from traditional methods, as highlighted by Alanzi [6], Taghikhah et al [7], Leal Filho et al [8], Elbeltagi et al [9], and Kumar et al [10]. Firstly, urban environments present intricate and multifaceted climate challenges that demand the capability to handle complex and diverse datasets.…”

Section: Introductionmentioning

confidence: 99%

“…Lastly, the continuous learning ability of AI-ML is vital in the context of climate change, where conditions evolve over time. AI-ML models can adapt and enhance their accuracy as they encounter new data, ensuring that adaptation strategies remain up-to-date and effective [6][7][8][9][10][11][12]. These advantages collectively position AI-ML as a pivotal tool in addressing the challenges posed by climate change in urban areas, making it the method of choice for this study.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Potential of AI–ML in Urban Climate Change Adaptation and Sustainable Development

Srivastava,

Maity

2023

Sustainability

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This study addresses a notable gap in the climate change literature by examining the potential of artificial intelligence and machine learning (AI–ML) in urban climate change adaptation and sustainable development across major global continents. While much attention has been given to mitigation strategies, this study uniquely delves into the AI–ML’s underexplored role in catalyzing climate change adaptation in contemporary and future urban centers. The research thoroughly explores diverse case studies from Africa, Asia, Australasia, Europe, North America, and South America, utilizing a methodological framework involving six-step and five-step models for systematic literature reviews. The findings underscore AI–ML achievements, illuminate challenges, and emphasize the need for context-specific and collaborative approaches. The findings imply that a one-size-fits-all approach is insufficient. Instead, successful adaptation strategies must be intricately linked to the particular characteristics, vulnerabilities, and intricacies of each region. Furthermore, the research underscores the importance of international collaboration, knowledge sharing, and technology transfer to expedite the integration of AI–ML into climate adaptation strategies globally. The study envisions a promising trajectory for AI–ML in the climate adaptation domain, emphasizing the necessity for ongoing research, innovation, and practical AI–ML applications. As climate change remains a defining challenge, this research predicts an increasingly pivotal role for AI–ML in constructing climate-resilient urban centers and promoting sustainable development. Continuous efforts to advance AI–ML technologies, establish robust policy frameworks, and ensure universal access are crucial for harnessing AI–ML’s transformative capabilities to combat climate change consequences.

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The Global Impact of Artificial Intelligence

Alabdulatif

2024

Technical and Technological Solutions Towards a Sustainable Society and Circular Economy

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Artificial intelligence and sustainability

Cited by 7 publications

References 52 publications

Understanding the Role of Architect in the Artificial Intelligence Era - “An Approach to AIA in Egypt”

Understanding the Role of Architect in the Artificial Intelligence Era - “An Approach to AIA in Egypt”

Assessing the Potential of AI–ML in Urban Climate Change Adaptation and Sustainable Development

The Global Impact of Artificial Intelligence

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