About Us
Generative AI is so hot right now, and it is probably going to be hot for a while.
We created this calculator to support researchers in Human-Computer Interaction research and adjacent areas to obtain a reasonable estimate of the carbon footprint of their generative AI use. All views are the authors' own, and do not represent our universities, groups, or supporting foundations.
Researchers
Nanna Inie
Assistant professor
IT University of Copenhagen, Denmark
Dr. Inie has a PhD in Digital Design and has conducted mixed methods research in Human-Computer Interaction for more than a decade. She has extensive experience in running both small-scale and large-scale human subject studies as well as in building and evaluating prototypes. Her research is interdisciplinary and has been published in main venues of both HCI, NLP, and Computing Education. She positions herself as a humans-first HCI researcher with a focus on advancing the benefits and mitigating the costs of digital technology to individuals, cultures, society, and the planet.
Jeanette Falk
Assistant professor
Aalborg University, Copenhagen, Denmark
Dr. Falk has a PhD in Digital Design. She has conducted mixed methods research in Human-Computer Interaction focusing on design processes in interaction design. Her research includes critical perspectives on how practitioners and researchers engage in design processes, which has been relevant in contributing to the framing of the overall research argument in this paper. Her research is interdisciplinary and has been published in main venues of HCI, Design and Creativity. She emphasizes and value responsible and sustainable practices in design and research.
Raghavendra Selvan
Assistant professor, Tenure-Track
University of Copenhagen, Denmark
Dr. Selvan has a PhD in Machine Learning. His research primarily focuses on investigating the sustainability of ML. He has made contributions to the sustainable development and deployment of ML methods since 2019. This includes technical contributions to ML research venues, and recommendations on sustainable practices for ML practitioners.
