WAWAIS

Artificial intelligence has not one, but several sustainability problems: in terms of social sustainability, we notice that corporations use huge amounts of data to train their models, most often without the copyright or consent of the owners of that data, and without proper screening for biases.

In terms of environmental sustainability, they use vast amounts of natural resources, such as fresh water for cooling data centers, and energy to train their models. And in terms of economic sustainability, AI-corporations have created a hype with new AI-based tools, aiming at disrupting industries.

There is growing work on every aspect of these rather unsustainable practices. However, we contend that a dedicated critical perspective on unsustainable AI is still not visible enough to increase sensitivity towards this issue on a societal level.

This workshop series brings together AI ethicists, philosophers, engineers, and social scientists to grow and sustain a critical perspective on questions of sustainability of AI.