This paper introduces "Small AI" as a conceptual framework for designers to counter the trend of ever-larger generative AI models. The authors propose that "smallness" in AI can refer to smaller model sizes, leading to reduced computational resources and ecological impact. They also extend this concept to political, epistemic, and cultural domains, advocating for an alternative innovation agenda that prioritizes smaller-scale AI, aligning with the philosophy that "small is beautiful." AI
IMPACT Proposes a conceptual framework for designing smaller, more ecologically friendly AI models.
RANK_REASON The item is a summary of an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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- artificial intelligence
- Bendor, R.
- degrowth
- Design Research Society
- E.F. Schumacher
- Generative AI
- Murray-Rust, D.
- Rehak, R.
- Small AI
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