HCAISep 26, 2023

Explainable Sustainability for AI in the Arts

arXiv:2309.14877v23 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis

This addresses the lack of accessible sustainability tools for artists using AI, though it is incremental as it builds on existing concepts.

The paper tackles the problem of making AI's environmental impact understandable for artists by developing reflection systems, introducing the concept of Explainable Sustainability for AI Arts.

AI is becoming increasingly popular in artistic practices, but the tools for informing practitioners about the environmental impact (and other sustainability implications) of AI are adapted for other contexts than creative practices -- making the tools and sustainability implications of AI not accessible for artists and creative practitioners. In this position paper, I describe two empirical studies that aim to develop environmental sustainability reflection systems for AI Arts, and discuss and introduce Explainable Sustainability in for AI Arts.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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