Environmental Slow AI: Design Principles for Generative Systems
Researchers propose a new approach to designing generative AI systems, called Slow AI, which prioritizes environmental sustainability as its core value. The authors argue that current genAI systems reflect the cultural values of their designers and can be reshaped once identified. They outline five design principles for Slow AI, including restraint, sufficiency, and material visibility, which aim to extend human agency by encouraging reflective engagement with the system.
Researchers propose a new approach to designing generative AI systems, called Slow AI, which prioritizes environmental sustainability as its core value. The authors argue that current genAI systems reflect the cultural values of their designers and can be reshaped once identified. They outline five design principles for Slow AI, including restraint, sufficiency, and material visibility, which aim to extend human agency by encouraging reflective engagement with the system.
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Why it matters: Engineers working on generative AI will need to consider these design principles as they develop more complex systems that interact with users and the environment. By prioritizing environmental sustainability, developers can create systems that are more transparent, accountable, and humane.
Source: https://arxiv.org/abs/2608.20398
This article was originally published at: https://arxiv.org/abs/2608.20398