Beyond the Last Truffula Tree: SustainAI - A Water-Aware, Closed-Loop Framework for Environmentally Accountable AI

arXiv:2609.30747v1 Announce Type: new Abstract: As artificial intelligence (AI) becomes embedded in everyday life, its environmental footprint, particularly water consumption remains largely invisible. While energy and carbon impacts are widely recognized, the substantial freshwater demands of data center cooling and electricity generation receive little attention. To address this gap, we introduce SustainAI, a water-aware, closed-loop framework incorporating environmental accountability into AI deployment. SustainAI integrates real-time water metering, a hallucination-aware penalty model, and a water-aware routing algorithm that accounts for regional water stress. Evaluated via Small Language Models (SLMs) extracting health misinformation, results reveal an 11-fold variation in water footprint across geographically distributed data centers (0.0477 mL to 0.5360 mL per inference). Across 1,335 inference runs, the system consumed approximately 399 mL of water but produced only 240 correct outputs, demonstrating that substantial resources are spent on inaccurate responses. Crucially, SustainAI extends beyond technical optimization through a Care by Design lens, framing AI sustainability around relational ethics, regional equity, and ecological stewardship. By combining water monitoring, adaptive accountability, and Care by Design principles, SustainAI provides a practical foundation for integrating ethical care and environmental responsibility into AI infrastructure design and lifecycle management.

SustainAI framework aims to reduce water consumption in AI deployment.

This is a technical/methodological proposal with a small-scale empirical demonstration, not a claim about societal transformation. It highlights a real environmental cost of AI but is framed constructively as a mitigation tool, so the net implication is mildly informative rather than strongly positive or negative.

The framework offers a practical solution to a known environmental problem with AI: water consumption. By measuring and optimizing water usage and highlighting resource waste from inaccurate outputs, SustainAI points to a more sustainable future for AI. The 'Care by Design' principle further strengthens its positive implications.

SOURCE     arXiv cs.CY (Computers and Society) (tier 1)
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DOCUMENT   50068648-9a0c-4a93-815e-94d1d2ec3a2f
           https://arxiv.org/abs/2609.30747
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EVIDENCE   2 extracted excerpts
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MODEL RUN  3 runs, methodology 1.0.1
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SCORE      -77  (Strongly adverse)
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CONFIDENCE 75%