Skip to search boxSkip to navigationSkip to main content

The HCI GenAI CO2ST Calculator: Calculating and Offsetting the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research

Research Output:
Conference Article in Proceeding or Book/Report chapter
Conference abstract in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Conference abstract in proceedings
Peer-review

Original language

English

Article number

8

Pages 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 States
9798400719684

Publication IDs

  • ORCID: /0000-0002-5375-9542/work/190821108
  • Scopus: 105016522789

Host publication title

Adjunct Proceedings of the Sixth Decennial Aarhus Conference: Computing X Crisis

Abstract

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).

Publication metrics