Imagen de Portada

Towards A Comprehensive Assessment of AI's Environmental Impact

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Chakraborty, Srija
Formato:	Preprint
Publicado:	2024
Materias:	Computers and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Data-Centric Safety and Ethical Measures for Data and AI Governance
por: Chakraborty, Srija
Publicado: (2025)

Global urban activity changes from COVID-19 physical distancing restrictions
por: Chakraborty, Srija, et al.
Publicado: (2024)

Toward Sustainable Generative AI: A Scoping Review of Carbon Footprint and Environmental Impacts Across Training and Inference Stages
por: Kim, Min-Kyu, et al.
Publicado: (2025)

Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment
por: Lee, Sung Une, et al.
Publicado: (2024)

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

Towards Environmentally Equitable AI
por: Hajiesmaili, Mohammad, et al.
Publicado: (2024)

Generative AI in Modern Education Society
por: Chakraborty, Sanjay
Publicado: (2024)

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version
por: Pham, Nghiem Thanh, et al.
Publicado: (2025)

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

Towards Socially and Environmentally Responsible AI
por: Li, Pengfei, et al.
Publicado: (2024)

Towards Environmentally Equitable AI via Geographical Load Balancing
por: Li, Pengfei, et al.
Publicado: (2023)

Enhancements for Developing a Comprehensive AI Fairness Assessment Standard
por: Agarwal, Avinash, et al.
Publicado: (2025)

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
por: Brusseau, James
Publicado: (2025)

Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems
por: Korobenko, Daria, et al.
Publicado: (2024)

How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
por: Morand, Clément, et al.
Publicado: (2024)

Towards Risk Analysis of the Impact of AI on the Deliberate Biological Threat Landscape
por: Walsh, Matthew E.
Publicado: (2024)

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies
por: Brundage, Miles, et al.
Publicado: (2026)

Developing an Ontology for AI Act Fundamental Rights Impact Assessments
por: Rintamaki, Tytti, et al.
Publicado: (2024)

The AI Assessment Scale Revisited: A Framework for Educational Assessment
por: Perkins, Mike, et al.
Publicado: (2024)

Assessment Twins: A Protocol for AI-Vulnerable Summative Assessment
por: Roe, Jasper, et al.
Publicado: (2025)

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

Lost in Vagueness: Towards Context-Sensitive Standards for Robustness Assessment under the EU AI Act
por: Tamponi, Roberta, et al.
Publicado: (2025)

Comprehensive AI Assessment Framework: Enhancing Educational Evaluation with Ethical AI Integration
por: Kılınç, Selçuk
Publicado: (2024)

Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment
por: Boonstra, Marjolein, et al.
Publicado: (2024)

Misinformation by Omission: The Need for More Environmental Transparency in AI
por: Luccioni, Sasha, et al.
Publicado: (2025)

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

Principles for Environmental Justice in Technology: Toward a Regenerative Future
por: Paul, Sanjana
Publicado: (2025)

Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Media
por: de-Lima-Santos, M. F., et al.
Publicado: (2024)

A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations
por: Davani, Aida, et al.
Publicado: (2025)

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

Towards an Environmental Ethics of Artificial Intelligence
por: van Uffelen, Nynke, et al.
Publicado: (2024)

Expert Assessment: The Systemic Environmental Risks of Artficial Intelligence
por: Schön, Julian, et al.
Publicado: (2025)

Generative AI for Social Impact
por: Kong, Lingkai, et al.
Publicado: (2026)

Toward an Artist-Centred AI
por: Krekovic, Gordan, et al.
Publicado: (2024)

Toward an Ethics of AI Belief
por: Ma, Winnie, et al.
Publicado: (2023)

Where Assessment Validation and Responsible AI Meet
por: Burstein, Jill, et al.
Publicado: (2024)

Generative AI for Multiple Choice STEM Assessments
por: Perdikoulias, Christina, et al.
Publicado: (2025)

Astra: AI Safety, Trust, & Risk Assessment
por: Aggarwal, Pranav, et al.
Publicado: (2026)

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

The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining
por: Morrison, Jacob, et al.
Publicado: (2026)