Embedded Files
The Environmental Artificial Intelligence (EAI) Database collates academic, government and news media reporting on the environmental impact of AI technologies.
You might have heard that ChatGPT uses a bottle of water per search- but have you ever stopped to think about all the other ways AI is already impacting the environment? The EAI database collates reporting across a range of environmental issues:
💾 E-waste
💾 E-waste
AI systems rely on physical machinery. These computer chips, processors and power systems often go to landfill instead of being recycled.
⚡Energy
⚡Energy
AI uses huge amounts of energy in its training and deployment. Much of this energy comes from unsustainable sources associated with greenhouse gas emissions.
💧Water
💧Water
AI datacentres use lots of water to keep their computers cool as they generate lots of heat. This contributes to the growing problem of freshwater scarcity.
The EAI Database and this website were designed by a group of undergraduate students at the University of Manchester: Lucie Kealey, Olivia Shaw, Yihan Chen, Jiahui Tang, and Amy Bower.
We are working under Dr Sam Hind, as part of the Undergraduate Scholars' Programme.
Contact: sam.hind@manchester.ac.uk
The design of our database was inspired by the AIAAIC Repository.
Page updated
Google Sites
Report abuse