mlsanityData to 7 Oct 2026

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities

arXiv 2310.19626 ↗First posted 30 Oct 2023cs.AIcited by 9

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Abstract (arXiv)

Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on diverse tasks spanning the arts and humanities. However, the swift evolution of AGI has also raised critical questions about its responsible deployment in these culturally significant domains traditionally seen as profoundly human. This paper provides a comprehensive analysis of the applications and implications of AGI for text, graphics, audio, and video pertaining to arts and the humanities. We survey cutting-edge systems and their usage in areas ranging from poetry to history, marketing to film, and communication to classical art. We outline substantial concerns pertaining to factuality, toxicity, biases, and public safety in AGI systems, and propose mitigation strategies. The paper argues for multi-stakeholder collaboration to ensure AGI promotes creativity, knowledge, and cultural values without undermining truth or human dignity. Our timely contribution summarizes a rapidly developing field, highlighting promising directions while advocating for responsible progress centering on human flourishing. The analysis lays the groundwork for further research on aligning AGI's technological capacities with enduring social goods.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 128 of its 192 references that are in the map. First posted on arXiv 30 Oct 2023.

Builds on

128 of 192 references.

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Cited by year

Citing papers per year: 2023: 2; 2024: 7.

9 papers.

  1. 2024Revolutionizing Finance with LLMs: An Overview of Applications and Insightscited by 88
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  3. 2024Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Researchcited by 26
  4. 2024Large Language Models for Manufacturingcited by 24
  5. 2023Holistic Evaluation of GPT-4V for Biomedical Imagingcited by 19
  6. 2023On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applicationscited by 15
  7. 2024Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translationcited by 12
  8. 2024Foundation Models for Low-Resource Language Education (Vision Paper)cited by 5
  9. 2024Analyzing Nobel Prize Literature with Large Language Modelscited by 4