Artificial intelligence, vampirism and the black box: speculative approach within the machine learning (ML) framework

被引:1
作者
Serra-Navarro, David [1 ]
机构
[1] UdG Univ Girona, Girona, Spain
关键词
Artificial intelligence; AI-Art; Vampirism; Creativity; Ready-made; EXPERIMENTAL CINEMA; ART;
D O I
10.5209/aris.95515
中图分类号
J [艺术];
学科分类号
13 ; 1301 ;
摘要
The creative relationships between human and machine based on generative artificial intelligence (AI) models are experiencing unprecedented growth among users, as well as new artistic modalities that find in this technology an expressive means to explore and investigate. This article takes as a case study the vAImpir project, an artistic production and research where AI becomes a technological medium, but which also becomes a space for reflection to address new narratives in a poetic background that speculates on the nature of AI. The aim is to identify a conceptual framework that can contextualize vAImpir in its immersion in machine learning (ML) processes as an engine for creating new interrelationships, between the experiential substrate of artistic production and the contemporary reinterpretation of concepts such as ready-made and deconstruction. A posthumanist approach that allows us to speculate on possible futures through artistic practice, with and about AI, to provide a particular vision to a complex scenario in which collaboration between algorithms and humans is a cultural and anthropological necessity.
引用
收藏
页码:967 / 977
页数:11
相关论文
共 59 条
  • [31] Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
    Kerr, Aphra
    Barry, Marguerite
    Kelleher, John D.
    [J]. BIG DATA & SOCIETY, 2020, 7 (01):
  • [32] Manovich L., 2024, AI Aesthetics.
  • [33] Data Mining, Machine Learning, Deep Learning, Chemometrics Definitions, Common Points and Trends (Spoiler Alert: VALIDATE your models!)
    Manuel Amigo, Jose
    [J]. BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY, 2021, 8 (32): : 45 - 61
  • [34] Marijuan A. A., 2018, Umatica: revista sobre creacion y analisis de la imagen, V1, P33, DOI [10.24310/Umatica.2018.v0i1.4743, DOI 10.24310/UMATICA.2018.V0I1.4743]
  • [35] Artificial Intelligence, Goya and learning to draw. First steps
    Marin-Viadel, Ricardo
    Campos, Ricardo
    Roldan, Joaquin
    [J]. ARTE INDIVIDUO Y SOCIEDAD, 2024, 36 (02) : 329 - 343
  • [36] Marinaro A. E., 2020, EAI Endorsed Transactions on Creative Technologies, V7, DOI [10.4108/eai.13-7-2018.163834, DOI 10.4108/EAI.13-7-2018.163834]
  • [37] Martin Prada J., 2024, Monografico tematico, Eikon Imago., V13
  • [38] Consciousness and artificial intelligence: Heidegger, Searle and Bostron
    Morandin-Ahuerma, Fabio
    [J]. STOA, 2023, 14 (28): : 189 - 209
  • [39] Morbey M. L., 1993, RACAR: Revue d'art canadienne, V20, P130, DOI [10.7202/1072764ar, DOI 10.7202/1072764AR]
  • [40] Nagl Ludwig, 2022, KSb/KJ, V41, P60