Identity
Julia Chylak, Mateusz Błajda, Eryk Imos, Beata Bajno, Paulina Wachnicka
On The Existence of Self-Identity (2023) is an interactive installation that touches on the problem of the origin of our personality. In the past, most people adopted the beliefs and traditions of their fathers. However, with the increase in migration and the associated interactions between different cultures, many of us have started to ponder our own cultural identity. In
the era of globalization, cultures collide and blend. Interacting with those who hold different values offers a fresh perspective on our beliefs, paradoxically aiding in self-understanding like a mirror revealing what we have overlooked.
Is one’s self-identity a matter of choice or chance?
To what extent does experience shape our ego versus our inherent self?
If it is solely about exposure on data, what sets us apart from AI models?
How do politicians use technology and art to affect our way of thinking?
We enable every participant of our exhibition to consider these questions individually. Thus, we provide them an opportunity to talk to a projection of themselves, speaking in their own voice, underneath which is an AI endowed with knowledge gathered from philosophical and religious writings.
The installation harnesses three models - the visual, the audio and the language one. During the interaction, a photo of a person is taken and their voice is recorded. The background of the photo is removed and filled with black. It is then projected onto the latent space of the first model, StyleGAN2-ADA, and interpolated with images of gods from different religions and cultures. The recorded voice is cloned by the voice-cloning XTTS model. The image of the person is projected onto a fabric in the center of a darkened room. Now, one's words are transcribed by the Whisper model; LLM responds to them and the responses are vocalized by XTTS with one's own voice. At first, the image and voice are a reflection of the viewer. Over time, the image begins to morph seamlessly into figures of gods from different eras and cultures, and the voice changes beyond recognition. In the final phase, the image becomes deformed and the voice becomes anonymous, no longer resembling the voice of any known person.
The StyleGAN was trained on a dataset comprising equal parts human and deity-like silhouettes. Human images were sourced from the SHHQ Dataset, while the deity images were scraped by us, ensuring selection from sources with Creative Commons licenses. Our dataset encompasses depictions of gods from diverse cultures and religions around the world, mainly in sculptural form, with some picture representations included.











