Helping Machines (Help Us) Make Mistakes: Narrativity in Generative Art

Vladimir Todorovic, Dejan Grba

Research output: Chapter in Book/Conference paperConference paperpeer-review


The development of automatic narrative systems has been largely driven by the engineering tendency to anthropomorphize the machine logic so they can ‘tell stories’ similar to how humans do. From the artists’ perspective, however, the experimentation with their media is often more important than the (plausibility of) storytelling, and it often unfolds in nonverbal events that have a potential to generate diverse narratives through experience of the audience. We discuss the emergence of the creative practices that enrich the poetic repertoire of new media art by playfully utilizing the machine flaws, irregularities, errors and systemic technical imperfections thus revealing the human biases and fallacies entangled with technology. One of the implications of these practices is that if the AI research opens up a broader space in which a machine could achieve its own authorial voice, our concept and understanding of the narrative would need to be reconsidered.
Original languageEnglish
Title of host publicationxCoAx 2019: Proceedings of the Seventh Conference on Computation, Communication, Aesthetics and X
EditorsMario Verdicchio, Miguel Carvalhais, Luísa Ribas, André Rangel
Place of PublicationPortugal
PublisherLaboreal, FPCE, Universidade do Porto
ISBN (Print)978-989-746-220-7
Publication statusPublished - 2019
Event7th Conference on Computation, communication, Aesthetics and X - Milan, Italy
Duration: 3 Jul 20195 Jul 2019


Conference7th Conference on Computation, communication, Aesthetics and X


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