The HCI GenAI CO2ST Calculator: Calculating and Offsetting the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
- ,
- Jeanette Falk,
- Raghavendra Selvan
- ,
- Aalborg University,
- University of Copenhagen
Research Output:
Conference Article in Proceeding or Book/Report chapter
Conference abstract in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Conference abstract in proceedings
Peer-reviewOriginal language
EnglishArticle number
8Pages from-to (Number of pages)
Pages 1-5 (5 pages)Publication milestones
- Published - 18/08/2025
Publication status
Published - 18/08/2025
Publisher
Association for Computing Machinery, United StatesISBN (Print)
9798400719684Publication IDs
- ORCID: /0000-0002-5375-9542/work/190821108
- Scopus: 105016522789
Host publication title
Adjunct Proceedings of the Sixth Decennial Aarhus Conference: Computing X CrisisAbstract
Increased usage of generative AI (GenAI) in Human-Computer Interaction (HCI) research has caused a sustainability crisis in computing, due to the excessive power consumption of developing and running these models. Energy consumption causes a massive carbon footprint. The exact energy usage and and subsequent carbon emissions are difficult to estimate in HCI research because HCI researchers most often use cloud-based services where the hardware and its energy consumption are hidden from plain view. The HCI GenAI CO2st Calculator is a tool designed specifically for the HCI research pipeline, to help researchers estimate the energy consumption and carbon footprint of using generative AI in their research, either a priori (allowing for mitigation strategies or experimental redesign) or post hoc (allowing for transparent documentation of carbon footprint in written reports of the research).
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