From Creation to Curriculum: Examining the role of generative AI in Arts Universities

• URL: http://arxiv.org/abs/2412.16531v1
• Date: Sat, 21 Dec 2024 08:18:43 GMT
• Title: From Creation to Curriculum: Examining the role of generative AI in Arts Universities
• Authors: Atticus Sims,
• Abstract summary: The paper meticulously addresses the integration of AI tools, with a spotlight on Stable Diffusion. The paper delves into a comprehensive overview of such tools, emphasizing the intricate dance between artists, developers, and researchers in the open-source AI art world. It presents a compelling case for the swift adoption of these avant-garde tools, underscoring the paramount importance of equipping students with the competencies required to thrive in an AI-augmented artistic landscape.
• Score: 0.0
• License:
• Abstract: The age of Artificial Intelligence (AI) is marked by its transformative "generative" capabilities, distinguishing it from prior iterations. This burgeoning characteristic of AI has enabled it to produce new and original content, inherently showcasing its creative prowess. This shift challenges and requires a recalibration in the realm of arts education, urging a departure from established pedagogies centered on human-driven image creation. The paper meticulously addresses the integration of AI tools, with a spotlight on Stable Diffusion (SD), into university arts curricula. Drawing from practical insights gathered from workshops conducted in July 2023, which culminated in an exhibition of AI-driven artworks, the paper aims to provide a roadmap for seamlessly infusing these tools into academic settings. Given their recent emergence, the paper delves into a comprehensive overview of such tools, emphasizing the intricate dance between artists, developers, and researchers in the open-source AI art world. This discourse extends to the challenges and imperatives faced by educational institutions. It presents a compelling case for the swift adoption of these avant-garde tools, underscoring the paramount importance of equipping students with the competencies required to thrive in an AI-augmented artistic landscape.

Related papers

• Diffusion-Based Visual Art Creation: A Survey and New Perspectives [51.522935314070416]
  This survey explores the emerging realm of diffusion-based visual art creation, examining its development from both artistic and technical perspectives. Our findings reveal how artistic requirements are transformed into technical challenges and highlight the design and application of diffusion-based methods within visual art creation. We aim to shed light on the mechanisms through which AI systems emulate and possibly, enhance human capacities in artistic perception and creativity.
  arXiv  Detail & Related papers  (2024-08-22T04:49:50Z)
• Rethinking the A in STEAM: Insights from and for AI Literacy Education [0.0]
  This article rethinks the role of arts in STEAM education, emphasizing its importance in AI literacy within K-12 contexts. The paper is structured around four key domains: language studies, philosophy, social studies, and visual arts. The article concludes by advocating for a robust inclusion of arts in STEAM to foster a holistic, equitable, and sustainable understanding of AI.
  arXiv  Detail & Related papers  (2024-05-28T13:46:22Z)
• Toward an Artist-Centred AI [0.0]
  This paper contextualizes the notions of suitability and desirability of principles, practices, and tools related to the use of AI in the arts. It was composed by examining the challenges that AI poses to art production, distribution, consumption, and monetization.
  arXiv  Detail & Related papers  (2024-04-13T09:43:23Z)
• Combating the "Sameness" in AI Art: Reflections on the Interactive AI Installation Fencing Hallucination [5.54780083433538]
  The article summarizes three types of "sameness" issues in Artificial Intelligence(AI) art, each occurring at different stages of development in AI image creation tools. Through the Fencing Hallucination project, the article reflects on the design of AI art production in alleviating the sense of uniformity.
  arXiv  Detail & Related papers  (2023-11-28T00:00:34Z)
• Exploration with Principles for Diverse AI Supervision [88.61687950039662]
  Training large transformers using next-token prediction has given rise to groundbreaking advancements in AI. While this generative AI approach has produced impressive results, it heavily leans on human supervision. This strong reliance on human oversight poses a significant hurdle to the advancement of AI innovation. We propose a novel paradigm termed Exploratory AI (EAI) aimed at autonomously generating high-quality training data.
  arXiv  Detail & Related papers  (2023-10-13T07:03:39Z)
• State of the Art on Diffusion Models for Visual Computing [191.6168813012954]
  This report introduces the basic mathematical concepts of diffusion models, implementation details and design choices of the popular Stable Diffusion model. We also give a comprehensive overview of the rapidly growing literature on diffusion-based generation and editing. We discuss available datasets, metrics, open challenges, and social implications.
  arXiv  Detail & Related papers  (2023-10-11T05:32:29Z)
• AI-Generated Images as Data Source: The Dawn of Synthetic Era [61.879821573066216]
  generative AI has unlocked the potential to create synthetic images that closely resemble real-world photographs. This paper explores the innovative concept of harnessing these AI-generated images as new data sources. In contrast to real data, AI-generated data exhibit remarkable advantages, including unmatched abundance and scalability.
  arXiv  Detail & Related papers  (2023-10-03T06:55:19Z)
• The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie [0.196629787330046]
  This review paper delves deep into the rapidly evolving landscape of digital education by contrasting the capabilities and impact of OpenAI's pioneering text generation tools like Bing Chat, Bard, Ernie. The study underscores its role in democratizing education, fostering autodidacticism, and magnifying student engagement. However, with such transformative power comes the potential for misuse, as text-generation tools can inadvertently challenge academic integrity.
  arXiv  Detail & Related papers  (2023-09-05T08:15:00Z)
• Pathway to Future Symbiotic Creativity [76.20798455931603]
  We propose a classification of the creative system with a hierarchy of 5 classes, showing the pathway of creativity evolving from a mimic-human artist to a Machine artist in its own right. In art creation, it is necessary for machines to understand humans' mental states, including desires, appreciation, and emotions, humans also need to understand machines' creative capabilities and limitations. We propose a novel framework for building future Machine artists, which comes with the philosophy that a human-compatible AI system should be based on the "human-in-the-loop" principle.
  arXiv  Detail & Related papers  (2022-08-18T15:12:02Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• Understanding and Creating Art with AI: Review and Outlook [12.614901374282868]
  Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts. This paper provides an integrated review of two facets of AI and art: 1) AI is used for art analysis and employed on digitized artwork collections; 2) AI is used for creative purposes and generating novel artworks. In relation to the role of AI in creating art, we address various practical and theoretical aspects of AI Art and consolidate related works that deal with those topics in detail.
  arXiv  Detail & Related papers  (2021-02-18T01:38:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.