New tech & innovation
To innovate and develop new tech with sustainability in mind
Continuous rapid innovations and technological advances occur within IT, something rarely seen in other areas. To be successful in this area, one must stay constantly updated, as innovations can sometimes be ambiguous and can either lead to sustainable benefits or big losses. Including sustainability as a factor when evaluating options, such as when comparing streamed data with locally saved data or blockchain with database solutions, can often result in beneficial results for everyone involved.
Questions to ask
Do you use technology and innovation to actively reduce your carbon footprint or energy consumption?
Do you include the sustainability aspect in decisions regarding the introduction of new technologies in your company e.g. AI and blockchain (which require large amounts of data or computational capacity)?
Do you contribute with innovation and new technology in order to create sustainable IT?
What does today's CIO's say about AI and sustainability?
Read the summary
"Små AI-modeller får ibland mindre uppmärksamhet, men de kan ofta leverera stor nytta. Nya metoder för att optimera processorkraften kan göra det värdefullt att överväga mindre och i sin tur energisnålare AI-modeller."
Inpiration on new tech & innovation from the CIOCO2 network
Here you can read articles, interviews, case, thoughts and reflections from the CIOCO2 network.
Articles & reports on new tech & innovation
Sustainable AI: AI for sustainability and the sustainability of AI
Vetenskaplig artikel
van Wynsberghe, A. AI Ethics 1, 213–218 (2021)
ChatGPT & Sustainability - Green Software Foundation “Expert Perspective”
Artikel
Green Software Foundtation (2023)
Climate Change AI
Website
Climate Change AI is a global non-profit that catalyzes impactful work at the intersection of climate change and machine learning.
Tackling Climate Change With Machine Learning
Vetenskaplig artikel
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., ... & Bengio, Y. (2022). Tackling climate change with machine learning. ACM Computing Surveys (CSUR), 55(2), 1-96.
How to estimate and reduce the carbon footprint of machine learning models
Artikel
Kasper Groes Albin Ludvigsen (2022)