Exploring the Intersection of AI and Sustainable Computing: Opportunities, Challenges, and a Framework for Responsible Applications

Hashlamoun, Nafeth Al; Barghuthi, Nedaa Baker Al; Tamimi, Hatem

doi:10.1109/itt59889.2023.10184228

Cited by 1 publication

(2 citation statements)

References 22 publications

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“…This exploration delves into the realms of sustainable computing, engineering decision-making, and supply chain management, showcasing AI's pivotal role in advancing sustainable practices across various sectors. Al Hashlamoun, Al Barghuthi, and Tamimi (2023) provide a comprehensive review of AI's impact on sustainable computing, highlighting its potential to significantly reduce the environmental footprint of computing systems. Their research underscores AI's applications in creating energyefficient data centers, smart grids, and precision agriculture, demonstrating how AI can enable more sustainable practices across the digital domain.…”

Section: Systematic Overview Of Ai Applications In Sustainable Practicesmentioning

confidence: 99%

“…These studies collectively highlight AI's significant contributions to sustainable practices, from reducing the environmental impact of computing systems to enhancing decision-making in engineering and optimizing supply chain management. Al Hashlamoun, Al Barghuthi, and Tamimi (2023) offer a foundational perspective on AI's role in sustainable computing, while Wankhede et al (2023) and Pal (2023) extend this discussion to engineering and supply chain management, respectively. Together, these works underscore the importance of integrating AI into sustainable practices, emphasizing the need for ethical considerations and responsible governance to ensure that technological advancements contribute positively to sustainability goals.…”

Section: Systematic Overview Of Ai Applications In Sustainable Practicesmentioning

confidence: 99%

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Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices

Uwaga Monica Adanma,

Emmanuel Olurotimi Ogunbiyi

2024

Comput. sci. IT res. j.

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This study explores the integration of Artificial Intelligence (AI) into environmental conservation efforts, aiming to assess AI's transformative potential in enhancing sustainability practices. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed articles, reports, and case studies from 2014 to 2024, focusing on the application of AI in biodiversity preservation, climate change mitigation, and sustainable resource management. The methodology hinges on a comprehensive search strategy, adhering to strict inclusion and exclusion criteria to ensure the relevance and quality of the literature analyzed. Key findings reveal that AI significantly contributes to environmental conservation by optimizing resource management, improving predictive analytics for biodiversity conservation, and facilitating advanced monitoring and analysis to mitigate environmental impacts. However, the deployment of AI technologies also presents ethical and cybersecurity challenges, necessitating robust frameworks for responsible use. The study underscores the importance of interdisciplinary collaboration, stakeholder engagement, and the development of ethical AI solutions to address these challenges effectively. Finally, AI holds immense promise for advancing environmental sustainability efforts. Strategic recommendations include fostering partnerships across disciplines, prioritizing ethical considerations in AI development, and enhancing AI literacy among conservationists. Future research directions emphasize the need for innovative AI applications in conservation and addressing the socio-technical complexities of integrating AI into environmental strategies. This study contributes valuable insights into leveraging AI for a sustainable and resilient future, highlighting the critical balance between technological advancements and ethical considerations. Keywords: Artificial Intelligence (AI), Environmental Conservation, Sustainability, Cyber Risks.

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Section: Systematic Overview Of Ai Applications In Sustainable Practicesmentioning

confidence: 99%

Section: Systematic Overview Of Ai Applications In Sustainable Practicesmentioning

confidence: 99%

Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices

Uwaga Monica Adanma,

Emmanuel Olurotimi Ogunbiyi

2024

Comput. sci. IT res. j.

View full text Add to dashboard Cite

show abstract

Exploring the Intersection of AI and Sustainable Computing: Opportunities, Challenges, and a Framework for Responsible Applications

Cited by 1 publication

References 22 publications

Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices

Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices

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