Art and the science of generative AI: A deeper dive

• URL: http://arxiv.org/abs/2306.04141v1
• Date: Wed, 7 Jun 2023 04:27:51 GMT
• Title: Art and the science of generative AI: A deeper dive
• Authors: Ziv Epstein, Aaron Hertzmann, Laura Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, and Olga Russakovsky
• Abstract summary: generative AI can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances.
• Score: 26.675816750583138
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally alter the creative processes by which creators formulate ideas and put them into production. As creativity is reimagined, so too may be many sectors of society. Understanding the impact of generative AI - and making policy decisions around it - requires new interdisciplinary scientific inquiry into culture, economics, law, algorithms, and the interaction of technology and creativity. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances. In this vein, we consider the impacts of this new medium on creators across four themes: aesthetics and culture, legal questions of ownership and credit, the future of creative work, and impacts on the contemporary media ecosystem. Across these themes, we highlight key research questions and directions to inform policy and beneficial uses of the technology.

Related papers

• Creativity in AI: Progresses and Challenges [17.03526787878041]
  We study the creative capabilities of AI systems, focusing on creative problem-solving, linguistic, artistic, and scientific creativity. Our review suggests that while the latest AI models are largely capable of producing linguistically and artistically creative outputs, they struggle with tasks that require creative problem-solving. We highlight the need for a comprehensive evaluation of creativity that is process-driven and considers several dimensions of creativity.
  arXiv  Detail & Related papers  (2024-10-22T17:43:39Z)
• 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)
• Can AI Be as Creative as Humans? [84.43873277557852]
  We prove in theory that AI can be as creative as humans under the condition that it can properly fit the data generated by human creators. The debate on AI's creativity is reduced into the question of its ability to fit a sufficient amount of data.
  arXiv  Detail & Related papers  (2024-01-03T08:49:12Z)
• The Age of Synthetic Realities: Challenges and Opportunities [85.058932103181]
  We highlight the crucial need for the development of forensic techniques capable of identifying harmful synthetic creations and distinguishing them from reality. Our focus extends to various forms of media, such as images, videos, audio, and text, as we examine how synthetic realities are crafted and explore approaches to detecting these malicious creations. This study is of paramount importance due to the rapid progress of AI generative techniques and their impact on the fundamental principles of Forensic Science.
  arXiv  Detail & Related papers  (2023-06-09T15:55:10Z)
• AI and the creative realm: A short review of current and future applications [2.1320960069210484]
  This study explores the concept of creativity and artificial intelligence (AI) The development of more sophisticated AI models and the proliferation of human-computer interaction tools have opened up new possibilities for AI in artistic creation.
  arXiv  Detail & Related papers  (2023-06-01T12:28:08Z)
• Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI [8.379286663107845]
  Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. This paper presents the results of a qualitative survey investigating how creative professionals think about generative AI.
  arXiv  Detail & Related papers  (2023-03-15T20:57:03Z)
• Redefining Relationships in Music [55.478320310047785]
  We argue that AI tools will fundamentally reshape our music culture. People working in this space could decrease the possible negative impacts on the practice, consumption and meaning of music.
  arXiv  Detail & Related papers  (2022-12-13T19:44:32Z)
• 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)
• Creativity in the era of artificial intelligence [1.8275108630751844]
  We aim to provide a new perspective on the question of creativity at the era of AI, by blurring the frontier between social and computational sciences. We argue that the objective of trying to purely mimic human creative traits towards a self-contained ex-nihilo generative machine would be highly counterproductive.
  arXiv  Detail & Related papers  (2020-08-13T15:07:34Z)

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.