Explainable Sustainability for AI in the Arts
Petra J\"a\"askel\"ainen
TL;DR
This paper introduces Explainable Sustainability for AI in the Arts, aiming to develop tools that help artists understand the environmental impact of AI, through empirical studies and a new reflection system.
Contribution
It presents the concept of Explainable Sustainability tailored for AI in the arts and reports on empirical studies to develop relevant sustainability reflection tools.
Findings
Development of environmental sustainability reflection systems for AI Arts
Empirical evidence on artists' needs for sustainability tools
Introduction of Explainable Sustainability concept for creative AI
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Explainable Artificial Intelligence (XAI) · Innovation, Sustainability, Human-Machine Systems