mlsanityData to 7 Oct 2026

Environmental and Social Sustainability of Creative-Ai

arXiv 2209.12879 ↗First posted 26 Sep 2022cs.HC cs.AIcited by 3

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Abstract (arXiv)

The recent developments of artificial intelligence increase its capability for the creation of arts in both largely autonomous and collaborative contexts. In both contexts, Ai aims to imitate, combine, and extend existing artistic styles, and can transform creative practices. In our ongoing research, we investigate such Creative-Ai from sustainability and ethical perspectives. The two main focus areas are understanding the environmental sustainability aspects (material, practices) in the context of artistic processes that involve Creative-Ai, and ethical issues related to who gets to be involved in the creation process (power, authorship, ownership). This paper provides an outline of our ongoing research in these two directions. We will present our interdisciplinary approach, which combines interviews, workshops, online ethnography, and energy measurements, to address our research questions: How is Creative-Ai currently used by artist communities, and which future applications do artists imagine? When Ai is applied to creating art, how might it impact the economy and environment? And, how can answers to these questions guide requirements for intellectual property regimes for Creative-Ai?

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 7 of its 29 references that are in the map. First posted on arXiv 26 Sep 2022.

Builds on

7 of 29 references.

References · 7

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,229
  3. 2019Energy and Policy Considerations for Deep Learning in NLPcited by 1,242
  4. 2019Green AIcited by 620
  5. 2019Quantifying the Carbon Emissions of Machine Learningcited by 516
  6. 2021Unraveling the Hidden Environmental Impacts of AI Solutions for Environmentcited by 32
  7. 2020ECCOLA -- a Method for Implementing Ethically Aligned AI Systemscited by 9

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Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.