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Auflistung nach Schlagwort "Sustainable AI"

1 - 2 von 2
  • Konferenzbeitrag
    Sustainability in Artificial Intelligence - Towards a Green AI Reference Model
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Weber, Sebastian; Guldner, Achim; Begic Fazlic, Lejla; Dartmann, Guido; Naumann, Stefan
    The interest in Green Artificial Intelligence (AI) is growing as AI research is increasingly focusing on and taking into account environmental sustainability. This paper aims to clarify and emphasize the distinction between terms like sustainable AI, Green AI, Green by AI, and Green in AI, highlighting their importance in the context of environmentally responsible AI practices. We find that existing Green Software reference models are insufficient for meeting the unique requirements of Green AI. Thus, we argue that a tailored Green AI reference model is needed to guide and promote environmentally responsible practices in the field of AI, addressing the special considerations associated with Green AI.
  • Konferenzbeitrag
    Towards Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Dokic, Dusan; Stein, Hannah; Janzen, Sabine; Maaß, Wolfgang
    The growing interest in AI services has led to a higher demand for computing power to train and execute complex AI models, causing a surge in power consumption in data centers. Together with rising costs for electricity, gas, petroleum, and coal, and the national target for climate neutrality of data centers by 2027, the ability to operate data centers economically is threatened in Germany. To address these issues, a pressing need to improve the sustainability of data centers and that of artificial intelligence. This paper proposes a roadmap to develop sustainable and resource-efficient data centers and AI systems. The roadmap includes four key building blocks: sustainable data centers, AI algorithms, AI sustainability framework, and economic efficiency analysis. Each building block poses pivotal research questions grounded in contemporary literature to guide the pursuit of environmental sustainability in data centers and AI.