New 'Slow AI' principles prioritize environmental sustainability in generative systems

A new position paper proposes design principles for generative AI systems, advocating for 'Slow AI' that prioritizes environmental sustainability. The paper, drawing from environmental humanities, outlines five principles: restraint, sufficiency, selectivity over retention, material visibility, and friction as affordance. These principles aim to restore human agency by encouraging reflective engagement with AI systems, contrasting with current frictionless defaults. AI

IMPACT Proposes a framework for developing more environmentally conscious generative AI, potentially influencing future AI design and development practices.

RANK_REASON The item is a research paper published on arXiv detailing design principles for AI systems. [lever_c_demoted from research: ic=1 ai=1.0]

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