From a small community of pioneering artists who experimented with artificial intelligence
(AI) in the 1970s, AI art has expanded, gained visibility, and attained socio-cultural …

Generative deep learning systems offer powerful tools for artefact generation, given their
ability to model distributions of data and generate high-fidelity results. In the context of …

Deepfakes, realistic portrayals of people that do not exist, have garnered interest in research
and industry. Yet, the contributions of deepfake technology to human-computer interaction …

We aim to help bridge the research fields of generative deep learning and computational
creativity by way of the creative AI community, and to advocate the common objective of …

A person's appearance, identity, and other nonverbal cues can substantially influence how
one is perceived by a negotiation counterpart, potentially impacting the outcome of the …

We present a framework for automating generative deep learning with a specific focus on
artistic applications. The framework provides opportunities to hand over creative …

This chapter explores the creative possibilities offered by latent spaces. Latent spaces are
machine-learnt maps representing large media datasets such as images and sound. With a …

Although they often have a negative connotation due to their social risks, deepfakes have
the potential to improve HCI, human-centered AI, and user experience (UX). To investigate …

The development of generative Machine Learning (ML) models in creative practices,
enabled by the recent improvements in usability and availability of pre-trained models, is …

[ES] En este artículo se aborda la posibilidad aprovechar e integrar los errores
interpretativos de las Inteligencias Artificiales (IA) en la práctica artística, en distintos …