Responding to global challenges through data-driven art

Martin Zeilinger*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Downloads (Pure)

Abstract

Researcher and curator Martin Zeilinger discusses a landscape review of AI art and artists in the context of responding to global challenges through data-driven art.
Original languageEnglish
Pages (from-to)48-52
Number of pages5
JournalThe New Real Magazine
Volume2
Issue number1
Early online date27 Jun 2025
DOIs
Publication statusPublished - 27 Jun 2025

Keywords

  • Digital art
  • Environmental action
  • Artificial Intelligence
  • Climate change

Fingerprint

Dive into the research topics of 'Responding to global challenges through data-driven art'. Together they form a unique fingerprint.

Cite this