- Date
- May 26, 2023
AI as no emotions
Anne Hotel - France
AI as no emotions is a series of digital creatures created by Anne Horel, which explore the sensitive and affective possibilities of Artificial Intelligences, investigating their abilities to show emotions and consciousness. Using neural models, Horel trains his creatures to show sensitive and emotional responses when interacting with music.- Date
- May 26, 2023
Corollaries
Sara Montoya - Colombia
Corollaries is a series of landscapes co-created by artist Sara Montoya and an artificial intelligence (AI) algorithm. To create these pieces, Montoya produced texts from which the AI algorithm began to generate images. Following this methodology known as prompt engineering, as the artist writes, the AI generates new images or refines the ones it has previously produced, thus learning about the artist's preferences and preferred styles, in a kind of training. or co-learning between both parties.- Date
- May 26, 2023
TREELEMMA
Oscar Santillan - Ecuador
In order to explore blockchain technology as an artistic medium, seeking its own native qualities, TREELEMMA consists of an NFT series that mixes artificial intelligence and ecology. Based on data obtained from forest monitoring satellites, the NFT detects every time a forest burns; This unfortunate event causes an artificial intelligence system to write a generative poem, which materializes from the ashes and sparks released by burning trees.- Date
- May 26, 2023
DICTR
Gabriel Pulecio - Colombia
D.ICTR is an interactive collage device in real time whose functionality turns it into an absurd artifact in order to show a whole series of images generated by Artificial Intelligence, based on the paradox of functionality taken to the extreme.- Date
- May 26, 2023
Speculative Treasures
Juan Covelli - Colombia
Spectulative Treasures is based on a Generative Adversarial Network (GAN) trained to reconstruct images of goldsmith pieces belonging to the Quimbaya Treasure. The images are generated using a Machine Learning algorithm, which is designed to create two-dimensional representations of the original artifacts currently housed in the Museo de América in Madrid.- Date
- May 26, 2023
the mystery of the flowers
Michael Hurtado - Peru
Throughout his research, Michael Hurtado understands the interaction between human and machine not as a confrontation, but as a symbiotic collaboration, a dance between natural and machine intelligence. He embarks on a journey towards a convergence that is perceived to be unattainable, but which inevitably invites exploration. In The Mystery of Flowers, the AI immerses itself in the botanical world, producing dynamic mutations of the landscape from the interaction with its plant elements.- Date
- May 26, 2023
STILL-LIFE
Fito Segrera - Colombia
STILL-LIFE uses online software to search, in real time, for images tagged under the category "still life", whether they are paintings or photographs. It uses an artificial intelligence engine to identify the objects present in the image, their scale, their location and their color palette. The work presents a synthesized version of each "still life" in a cold, digital and mechanical way. STILL-LIFE uses language, logic and minimalism to algorithmically construct a post-conceptualist form of still life.- Date
- May 26, 2023
Critically Extant
Sofia Crespo - Argentina
Critically Extant explores the scarce information that circulates about the natural world, while pointing out the possibilities offered by AI when interacting with various forms of life to formulate speculative ecologies. Crespo trained algorithms from millions of images in the public domain of some ten thousand species in serious danger of extinction. The resulting models were used to generate visual representations of species with little or no presence on the Internet. Originally, the project was inaugurated as a digital exhibition using social platforms, in order to contribute to the daily consumption of digital content, understanding it as a means of raising awareness, and, potentially, of commitment in favor of ecosystems at risk.
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