Alexandra Sasha Luccioni
AI researcher at Hugging Face working on the environmental and social impacts of machine learning systems. Matters to this vault as the lead-listed author of the FAccT 2025 paper (with Emma Strubell and Kate Crawford) that applies the nineteenth-century Jevons paradox to artificial intelligence — the argument that per-model efficiency gains do not guarantee falling total energy consumption, and may raise it — anchoring the vault's AI-energy rebound-effect thread. A citation the paper leans on to illustrate that argument has since turned out to misdate its own source (see references).
References
- claim-jevons-paradox-invoked-in-ai-energy-debate-luccioni-2025
- claim-luccioni-2025-nvidia-gpu-figure-misdated-2023-as-2024
- claim-nvidia-2023-gpu-shipment-figure-traces-only-to-paywalled-techinsights-study
- claim-techinsights-own-page-contradicts-journalisms-376m-gpu-figure
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