Copertina

Toward Sustainable Generative AI: A Scoping Review of Carbon Footprint and Environmental Impacts Across Training and Inference Stages

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Min-Kyu, Yoo, Tae-An, Chung, Ji-Bum
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AI Governance in the Context of the EU AI Act: A Bibliometric and Literature Review Approach
di: Kim, Byeong-Je, et al.
Pubblicazione: (2025)

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint
di: Lambert, Katherine, et al.
Pubblicazione: (2026)

AI-Enhanced Decision-Making for Sustainable Supply Chains: Reducing Carbon Footprints in the USA
di: Hasan, MD Rokibul
Pubblicazione: (2024)

How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference
di: Jegham, Nidhal, et al.
Pubblicazione: (2025)

Towards A Comprehensive Assessment of AI's Environmental Impact
di: Chakraborty, Srija
Pubblicazione: (2024)

The Environmental Impact of AI Servers and Sustainable Solutions
di: Patel, Aadi, et al.
Pubblicazione: (2025)

Integrating AI's Carbon Footprint into Risk Management Frameworks: Strategies and Tools for Sustainable Compliance in Banking Sector
di: Tkachenko, Nataliya
Pubblicazione: (2024)

On the Carbon Footprint of Economic Research in the Age of Generative AI
di: Alonso-Robisco, Andres, et al.
Pubblicazione: (2026)

Mitigating the Carbon Footprint of Chatbots as Consumers
di: Ruf, Boris, et al.
Pubblicazione: (2025)

From Silicon Shield to Carbon Lock-in ? The Environmental Footprint of Electronic Components Manufacturing in Taiwan (2015-2020)
di: Roussilhe, Gauthier, et al.
Pubblicazione: (2022)

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
di: Jiang, Lei, et al.
Pubblicazione: (2026)

LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
di: Fu, Zhenxiao, et al.
Pubblicazione: (2024)

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
di: Hagendorff, Thilo
Pubblicazione: (2024)

Generative AI in Self-Directed Learning: A Scoping Review
di: Roe, Jasper, et al.
Pubblicazione: (2024)

Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis
di: Roe, Jasper, et al.
Pubblicazione: (2024)

Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
di: Ulissi, Shaena, et al.
Pubblicazione: (2025)

Green by Design? Investigating the Energy and Carbon Footprint of Chia Network
di: Djerrab, Soraya, et al.
Pubblicazione: (2026)

Generative AI for Social Impact
di: Kong, Lingkai, et al.
Pubblicazione: (2026)

Dirty Bits in Low-Earth Orbit: The Carbon Footprint of Launching Computers
di: Ohs, Robin, et al.
Pubblicazione: (2025)

Balancing Innovation and Sustainability: Addressing the Environmental Impact of Bitcoin Mining
di: Hossain, Mohammad Ikbal, et al.
Pubblicazione: (2024)

Carbon Footprint Evaluation of Code Generation through LLM as a Service
di: Vartziotis, Tina, et al.
Pubblicazione: (2025)

Towards Automated Scoping of AI for Social Good Projects
di: Emmerson, Jacob, et al.
Pubblicazione: (2025)

Estimating The Carbon Footprint Of Digital Agriculture Deployment: A Parametric Bottom-Up Modelling Approach
di: La Rocca, Pierre, et al.
Pubblicazione: (2024)

Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice
di: Luccioni, Alexandra Sasha, et al.
Pubblicazione: (2025)

Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
di: Patel, Dhavalkumar, et al.
Pubblicazione: (2024)

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
di: Wright, Dustin, et al.
Pubblicazione: (2023)

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
di: La Cava, Lucio, et al.
Pubblicazione: (2025)

SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI
di: Sitaraman, Anupama, et al.
Pubblicazione: (2025)

Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
di: Kausar, Zahida, et al.
Pubblicazione: (2025)

Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
di: Wang, Xinlei, et al.
Pubblicazione: (2026)

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education
di: Ni, Yang, et al.
Pubblicazione: (2026)

Towards Environmentally Equitable AI
di: Hajiesmaili, Mohammad, et al.
Pubblicazione: (2024)

Assessing the Carbon Footprint of Virtual Meetings: A Quantitative Analysis of Camera Usage
di: Mortas, Félix
Pubblicazione: (2025)

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling
di: Bashir, Noman, et al.
Pubblicazione: (2024)

Impact Matters! An Audit Method to Evaluate AI Projects and their Impact for Sustainability and Public Interest
di: Züger, Theresa, et al.
Pubblicazione: (2026)

AI in Action: Accelerating Progress Towards the Sustainable Development Goals
di: Gosselink, Brigitte Hoyer, et al.
Pubblicazione: (2024)

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
di: Ma, Yingbo, et al.
Pubblicazione: (2024)

Perceptions of AI Across Sectors: A Comparative Review of Public Attitudes
di: Bialy, Filip, et al.
Pubblicazione: (2025)

Democratizing Generative AI for Sustainable Competitive Advantage
di: Costa, Carlos J., et al.
Pubblicazione: (2026)

Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
di: Ligozat, Anne-Laure, et al.
Pubblicazione: (2021)