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20232026
most citedPower Hungry Processing: Watts Driving the Cost of AI Deployment?

310 citations · 641 across the 20 of their papers we have counts for

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8 papers · 1 filter

cs.CY2026★ 1 cited

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint

Katherine Lambert, Sasha Luccioni

The rapid growth in the deployment and scale of modern artificial intelligence (AI) systems has intensified concerns regarding their environmental impacts, yet we still lack a comp…

cs.CY2026★ 1 cited

Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power

Travis LaCroix, Fintan Mallory, Sasha Luccioni

This paper examines the strategic use of language in contemporary artificial intelligence (AI) discourse, focusing on the widespread adoption of metaphorical or colloquial terms li…

cs.CY2026

Terms of (Ab)Use: An Analysis of GenAI Services

Harshvardhan J. Pandit, Dick A. H. Blankvoort, Adel Shaaban +2

Generative AI services like ChatGPT and Gemini are some of the fastest-growing consumer services. Individuals using such services must accept their terms of use before access, and…

cs.CY2026

The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI

Kai Ebert, Boris Gamazaychikov, Philipp Hacker +1

Artificial intelligence (AI) systems impose substantial and growing environmental costs, yet transparency about these impacts has declined even as their deployment has accelerated.…

cs.CY2025

From FLOPs to Footprints: The Resource Cost of Artificial Intelligence

Sophia Falk, Nicholas Kluge Corrêa, Sasha Luccioni +2

As computational demands continue to rise, assessing the environmental footprint of AI requires moving beyond energy and water consumption to include the material demands of specia…

cs.CY2025★ 4 cited

More than Carbon: Cradle-to-Grave environmental impacts of GenAI training on the Nvidia A100 GPU

Sophia Falk, David Ekchajzer, Thibault Pirson +5

The rapid expansion of Artificial Intelligence (AI) has intensified concerns about its environmental sustainability. Current assessments focus on operational carbon emissions using…

cs.CY2025★ 1 cited

Misinformation by Omission: The Need for More Environmental Transparency in AI

Sasha Luccioni, Boris Gamazaychikov, Theo Alves da Costa +1

In recent years, Artificial Intelligence (AI) models have grown in size and complexity, driving greater demand for computational power and natural resources. In parallel to this tr…

cs.CY2024★ 6 cited

Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI

Gaël Varoquaux, Alexandra Sasha Luccioni, Meredith Whittaker

With the growing attention and investment in recent AI approaches such as large language models, the narrative that the larger the AI system the more valuable, powerful and interes…