24/7 Carbon-Free Energy for All: Towards a Resilient Energy System
Open the record to view the available source metadata.
AI & Environment Resource Hubopen.spotify.com · 2024-11-14
Dr. Sasha Luccioni joins Hannah and Rob to uncover the hidden carbon impact of generative AI, discussing its opaque development and potential role in addressing the climate crisis.
open.spotify.com. 2024-11-14. Dr Sasha Luccioni: The climate cost of AI. https://open.spotify.com/episode/1YeMc2iTvZ4Qz25VjQMI9l (AI & Environment Resource Hub; record pod-0002; collection snapshot 2026-09-15).
Included in the original Podcast collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
Selected fields checked: title · 2026-09-06. Exact episode title observed in Spotify source metadata during 2026-09-06 audit; corrects surname and episode title. Verification source ↗
Source sheet: Podcast · Row 6 · Original ID: pod-0002.
Commentary and interviews should not be treated as independently verified findings. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
Suggest a correction for this record →Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Open the record to view the available source metadata.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Learn about how AI can be used to protect biodiversity, fight climate change, and just better understand our planet through 5-minute explainers covering academic papers on AI for the Planet. AI is not just chatbots! Grace Lindsay is a professor of Data Science & Psychology. She teaches a course on Machine Learning for Climate Change.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
Accurate energy measurement is essential for reducing ML’s carbon footprint, requiring standardized tools, best practices, and improved adoption among researchers.
Shared topics: Cross-cutting sustainability; Climate and greenhouse gases
This study presents a behavior-driven decision framework that helps AI developers choose models balancing accuracy and environmental sustainability by quantifying energy use and emissions during fine-tuning and applying behavioral decision theories.