A Shift in Artistic Practices through Artificial Intelligence

Author:

Tatar Kivanç1ORCID,Ericson Petter2ORCID,Cotton Kelsey3ORCID,Del Prado Paola Torres Núñez4ORCID,Batlle-Roca Roser5ORCID,Cabrero-Daniel Beatriz6ORCID,Ljungblad Sara7ORCID,Diapoulis Georgios8ORCID,Hussain Jabbar9ORCID

Affiliation:

1. Kıvanç Tatar, Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI Division, Rännvägen 6B, Gothenburg, Sweden, 412 96. Email: tatar@chalmers.se.

2. Petter Ericson, Department of Computing Science, Umeå University, MIT-huset, Campustorget 5, Umeå Universitet, Umeå, Sweden, 901 87. Email: pettter@cs.umu.se.

3. Kelsey Cotton, Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI Division, Rännvägen 6B, Gothenburg, Sweden, 412 96. Email: kelsey@chalmers.se.

4. Paola Torres Núñez del Prado, Stockholm University of the Arts, Brinellvägen 34, Stockholm, Sweden, 114 28. Email: paola.torres@uniarts.se.

5. Roser Batlle-Roca, Universitat Pompeu Fabra, Tanger, 122-144, Barcelona, Spain, 115 41. Email: roser.batlle@upf.edu.

6. Beatriz Cabrero-Daniel, Department of Computer Science and Engineering, University of Gothenburg, Hörselgången 5, Gothenburg, Sweden, 417 56. Email: beatriz.cabrero-daniel@gu.se.

7. Sara Ljungblad, Department of Computer Science and Engineering, University of Gothenburg, Interaktionsdesign, Kuggen, Lindholmspiren 1, Gothenburg, Sweden, 417 56. Email: sara.ljungblad@chalmers.se.

8. Georgios Diapoulis, Department of Computer Science and Engineering, Chalmers University of Technology, Interaktionsdesign, Kuggen, Lindholmspiren 1, Gothenburg, Sweden, 417 56. Email: georgios.diapoulis@chalmers.se.

9. Jabbar Hussain, Department of Applied IT, University of Gothenburg, Forskningsgången 6 Gothenburg, Sweden, 412 96. Email: jabbar.hussain@ait.gu.se.

Abstract

Abstract The explosion of content generated by artificial intelligence (AI) models has initiated a cultural shift in arts, music, and media, whereby roles are changing, values are shifting, and conventions are challenged. The vast, readily available dataset of the Internet has created an environment for AI models to be trained on any content on the Web. With AI models shared openly and used by many globally, how does this new paradigm shift challenge the status quo in artistic practices? What kind of changes will AI technology bring to music, arts, and new media?

Publisher

MIT Press

Reference19 articles.

1. “Computational Creativity and Music Generation Systems: An Introduction to the State of the Art,”;Carnovalini;Frontiers in Artificial Intelligence,2020

2. “Musical agents: A typology and state of the art towards Musical Metacreation,”;Tatar;Journal of New Music Research,2019

3. “Generative Dance—a Taxonomy and Survey,”;Bisig,2022

4. “The survey: Text generation models in deep learning,”;Iqbal;Journal of King Saud University—Computer and Information Sciences,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3