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SustAIn

2022 By AlgorithmWatch
An inforgraphic showing 3 main headers and topics: Economic Sustainability reads: monopolisation of AI avoided, open access to AI technologies and fair working conditions and jobs. Environmental Sustainability reads: Energy consumption, C02 and greenhouse emissions, AI applied to sustainbility goals. Finally, Social Sustainability reads: Transparence and accountability, we should all benefit from AI and Technical reliability and human supervision.
Illustration by La Loma, content adapted by Tactical Tech based on the magazine issue "Sustain: Sustainable AI in practice”, 2022 from Algorithm Watch, Institut für Ökologische Wirtschaftsforschung and DAI-Lab (TU Berlin).

If emerging technologies are to help solve rather than amplify our problems, sustainability has to be built-in. The non-profit research and advocacy organisation AlgorithmWatch proposes a framework for AI that brings together interdependent elements — economic, social and environmental — and sets the terms for measuring sustainability for AI. In conditions where companies often prioritise profit, governments are guided by economic growth and citizens are rarely engaged, SustAIn asks, who will set the terms for people and the planet and what will they be?

An inforgraphic showing 2 main headers and topics: Economic Sustainability reads: monopolisation of AI avoided, open access to AI technologies and fair working conditions and jobs. Environmental Sustainability reads: Energy consumption, C02 and greenhouse emissions, AI applied to sustainbility goals.

An inforgraphic showing the header Social Sustainability reads: Transparence and accountability, we should all benefit from AI and Technical reliability and human supervision.

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