Understanding the Innovations Required for a Green &amp; Secure Artificial Intelligence Paradigm

Rizvee, Md. Mashfiq; Rahman, Md Hafizur; Chakraborty, Prabuddha; Shomaji, Sumaiya

doi:10.1109/dcas57389.2023.10130257

Cited by 1 publication

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This exploration delves into the significant advancements in AI that are paving the way for a more sustainable future, focusing on the environmental impact of AI, the integration of AI in enterprise information systems, and the application of AI in plant disease control. Rizvee et al (2023) provide a comprehensive analysis of the environmental implications of the AI life-cycle, highlighting the substantial greenhouse gas (GHG) emissions associated with AI computations. The study explores the impact of AI from neural architecture searches to in-field processing across billions of edge devices, emphasizing the need for a green and secure AI paradigm.…”

Section: Cutting-edge Innovations In Ai For Green Practicesmentioning

confidence: 99%

“…These studies collectively highlight the cutting-edge innovations in AI that are contributing to green practices across various domains. Rizvee et al (2023) emphasize the need for environmentally conscious AI system design, Gupta et al ( 2023) explore AI's role in enterprise information systems, and Rani et al ( 2023) demonstrate AI's application in sustainable agriculture. Together, these works underscore the transformative impact of AI on environmental sustainability, showcasing the potential of technological advancements to address ecological challenges effectively.…”

Section: Cutting-edge Innovations In Ai For Green Practicesmentioning

confidence: 99%

See 1 more Smart Citation

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

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.

show abstract

Section: Cutting-edge Innovations In Ai For Green Practicesmentioning

confidence: 99%

Section: Cutting-edge Innovations In Ai For Green Practicesmentioning

confidence: 99%