Arte e inteligencia artificial : técnicas de aprendizaje automático en el arte generativo actual

Supervised by:
  1. María Jesús Romero Palomino Director

Defence university: Universidad Complutense de Madrid

Fecha de defensa: 01 June 2022

  1. Pablo de Arriba del Amo Chair
  2. Jaime Munárriz Ortiz Secretary
  3. Pablo David Alsina González Committee member
  4. Paz Tornero Lorenzo Committee member
  5. Álvaro Gutiérrez Martín Committee member

Type: Thesis


Throughout the following research, Art and artificial intelligence: machine learning techniques in the contemporary generative art, the recent artistic trend «AI Art (Artificial Intelligence Art)» understood as the art produced by means of artificial intelligence (AI), will be studied. The field of artificial intelligence has been studying computational models that are able to carry on human-like activities since mid-20th century, nevertheless, it wouldn’t be until the development of the latest advancements in machine learning — a branch of the AI in charge of studying and developing algorithms that enable computers to learn —, when it experienced a legitimate upturn and started to have an impact in its use in the arts. The following investigation aims to bring the field of machine learning closer to the public from an artistic point of view, in order to explain the techniques that are inherent to it and therefore democratize an art originated in a technical area...