From Textual Experiments to Experimental Texts: Expressive Repetition in
"Artificial Intelligence Literature"
- URL: http://arxiv.org/abs/2201.02303v1
- Date: Fri, 7 Jan 2022 02:44:58 GMT
- Title: From Textual Experiments to Experimental Texts: Expressive Repetition in
"Artificial Intelligence Literature"
- Authors: Tianhua Zhu
- Abstract summary: AI literature integrates primitive problems including machine thinking, text generation, and machine creativity.
In the early stage, the mutual support between technological path and artistic ideas turned out to be a failure.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Since the birth of artificial intelligence 70 years ago, attempts at literary
"creation" with computers are present in the course of technological
development, creating what one might call "artificial intelligence literature"
(AI literature). Evolving from "textual experiments" conducted by technologists
to "experimental texts" that explore the possibilities of conceptions of
literature, AI literature integrates primitive problems including machine
thinking, text generation, and machine creativity, which exhibits the two-way
interaction between social ideas and technology. In the early stage, the mutual
support between technological path and artistic ideas turned out to be a
failure, while AI-driven expressive repetitions are made probable in the
contemporary technological context, paving the way for the transformation of AI
literature from proof for technical possibilities to self-verification of
literary value.
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) - Artificial Intelligence from Idea to Implementation. How Can AI Reshape the Education Landscape? [0.0]
The paper shows how AI technologies have moved from theoretical constructs to practical tools that are reshaping pedagogical approaches and student engagement.
The essay concludes by discussing the prospects of AI in education, emphasizing the need for a balanced approach that considers both technological advancements and societal implications.
arXiv Detail & Related papers (2024-07-14T04:40:16Z) - Expressivity and Speech Synthesis [51.75420054449122]
We outline the methodological advances that brought us so far and sketch out the ongoing efforts to reach that coveted next level of artificial expressivity.
We also discuss the societal implications coupled with rapidly advancing expressive speech synthesis (ESS) technology.
arXiv Detail & Related papers (2024-04-30T08:47:24Z) - 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) - Experiential AI: A transdisciplinary framework for legibility and agency
in AI [13.397979132753138]
Experiential AI is a research agenda in which scientists and artists come together to investigate the entanglements between humans and machines.
The paper discusses advances and limitations in the field of explainable AI.
arXiv Detail & Related papers (2023-06-01T12:59:06Z) - 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) - Visualize Before You Write: Imagination-Guided Open-Ended Text
Generation [68.96699389728964]
We propose iNLG that uses machine-generated images to guide language models in open-ended text generation.
Experiments and analyses demonstrate the effectiveness of iNLG on open-ended text generation tasks.
arXiv Detail & Related papers (2022-10-07T18:01:09Z) - 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) - Synthetic Books [0.0]
Article explores new ways of written language aided by AI technologies, like GPT-2 and GPT-3.
New concept of synthetic books is introduced in the article.
Paper emphasizes that artistic quality is an issue when it comes to AI-generated content.
arXiv Detail & Related papers (2022-01-24T08:26:28Z) - BACON: Deep-Learning Powered AI for Poetry Generation with Author
Linguistic Style Transfer [91.3755431537592]
This paper describes BACON, a prototype of an automatic poetry generator with author linguistic style transfer.
It combines concepts and techniques from finite state machinery, probabilistic models, artificial neural networks and deep learning, to write original poetry with rich aesthetic-qualities in the style of any given author.
arXiv Detail & Related papers (2021-12-14T00:08:36Z) - The Work of Art in an Age of Mechanical Generation [0.0]
Can we define what it means to be "creative," and if so, can our definition drive artificial intelligence systems to feats of creativity indistinguishable from human efforts?
This article considers the ability of AI to detect forgeries of renowned paintings and, in so doing, somehow reveal the quiddity of a work of art.
arXiv Detail & Related papers (2021-01-27T18:32:58Z)
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.