The increasing use of AI systems raises debates about their societal, environmental and economic impacts, such as non-transparent decision-making processes, discrimination, increasing inequalities, rising energy consumption and greenhouse gas emissions in AI model development and application. Other discussions also relate to broader consequences on labor markets, consumption patterns or the market power of large corporations. This publication presents conceptional ideas for a comprehensive sustainability assessment along the AI lifecycle. We suggest sustainability criteria with corresponding indicators to encourage a systematic assessment of AI systems and to support making their development and application more sustainable.
Sustainability criteria for Artificial Intelligence – evaluation approach presented
Taylor Vick | Unsplash
Anne Mollen (she/her)
Senior Policy & Advocacy Manager
Photo: Julia Bornkessel, CC BY 4.0
As a Senior Policy & Advocacy Manager at AlgorithmWatch, Anne addresses ADM and sustainability, ADM at the workplace, and ADM in the public sector, the latter with a focus on AlgorithmWatch’s work related to German developments. She holds a PhD on technologies and people’s digital media practices in increasingly digital democracies from the University of Bremen. Anne has also been involved in many projects researching the interrelation between digital media technologies, society, and democracy.