ESR Sustainability Subcommittee Session
ESR Sustainability 21 - Artificial intelligence (AI), data storage, and sustainability
Lectures
1
Chairperson's introduction
05:00Andrea Grace Rockall, London / UK
2
How green is your AI? In the balance: AI deployment, what are the potential sustainability gains?
15:00Merel Huisman, Nijmegen / NL
3
LLMs and Gen AI: big impact with big gains?
15:00Florence Xini Doo, North Bethesda / US
4
Data storage: to store or not to store
15:00Kate Hanneman, Toronto / CA
5
AWS cloud storage. Legislation, country rules and regulations: benefits and challenges
15:00Alexander Lemm, Darmstadt / DE
6
Panel discussion: Where could AI help in the green transition, and how can we mitigate data and computer-related carbon impact?
25:00Panel discussion: Where could AI help in the green transition, and how can we mitigate data and computer-related carbon impact?
This session aims to present the current status of evidence and knowledge concerning the carbon-intensive activities that are frequently undertaken in radiology, related to AI and to data storage. With the ongoing deployment of AI into the radiology workflow, the impact on energy use will be considered. Can the use of AI actually help to green our radiology practice? How will generative AI impact? Can radiologists help to bear down on carbon footprint by careful attention to data storage, and if so, what impact could this have? Expert speakers will join for a panel discussion.
5 min
Chairperson's introduction
Andrea Grace Rockall, London / United Kingdom
15 min
How green is your AI? In the balance: AI deployment, what are the potential sustainability gains?
Merel Huisman, Nijmegen / Netherlands
15 min
LLMs and Gen AI: big impact with big gains?
Florence Xini Doo, North Bethesda / United States
15 min
Data storage: to store or not to store
Kate Hanneman, Toronto / Canada
15 min
AWS cloud storage. Legislation, country rules and regulations: benefits and challenges
Alexander Lemm, Darmstadt / Germany
25 min
Panel discussion: Where could AI help in the green transition, and how can we mitigate data and computer-related carbon impact?