In our joint SustAIn project with the Institute for Ecological Economy Research (IÖW) and TU Berlin’s Distributed Artificial Intelligence Laboratory (DAI-Labor), we made suggestions for a more sustainable AI development. A synthesis report gives insights into the findings, learnings, and policy implications from the project.
Within the recent debate on AI and sustainability, it is becoming increasingly clear that AI systems create significant risks for society and our planet. As part of the SustAIn project, pioneering work has been undertaken in compiling comprehensive indicators that can be used to assess the social, environmental, and economic sustainability of AI systems. The project has shown that, besides organizations that develop and implement AI, a policy approach is needed to foster more sustainable AI systems. With this report, we share the most important insights and results of our work and facilitate and structure the discourse on the sustainability of AI along the AI lifecycle.
Read more on our policy & advocacy work on ADM and sustainability.
