Guillaume Slizewicz is a designer and digital artist whose work sits at the intersection of technology, the environment, and societal issues. Through his practice, he engages with the evolving dynamics between innovation and sustainability, using technology in poetic, evocative and critical ways. His approach draws connections between ancient practices and contemporary digital tools.

Graduating in Politics, Philosophy, and Economics from the University of Kent and later in Production Technology at Copenhagen's School of Design and Technology, Guillaume founded his studio in 2021 to explore these relationships through digital arts and collectible design. His works often blend physical materials—metal, wood, and clay—with digital processes like algorithms, artificial intelligence, and computer-aided manufacturing. Guillaume's artistic inquiry extends beyond materials to his collaborative and experimental methodology. His works, often developed within collectives and with other designers, connect the past with the future, linking craftsmanship with computational processes. His work has been presented by institutions like MAD(Brussels), Impakt (Utrecht), Design Museum (Ghent), Le Pavillon (Namur), BioArt Labs (Eindhoven), Fake/Authentic (Milan) by universities in Brussels, Leuven, Basel, Trier and Hong Kong, as well as in grassroots venues deep in the local urban fabric such Biestebroekbis, La Maison du Livre St Gilles and Constant in Brussels.

algorithmic readings of Bertillon's portrait parlé

algorithmic readings of Bertillon's portrait parlé

2019 Mundaneum, Mons Data Workers webcam, screen, computer, button and raspberry

Collaborators : Algolit

Photo credits : Javier Lloret, Guillaume Slizewicz

Two interactive installations inspired by Bertillon's "portrait parlé"

Writing with Otlet, Mixed Media, 2019

Writing with Otlet is a character generator that uses the spoken portrait code as its database. Random numbers are generated and translated into a set of features. By creating unique instances, the algorithm reveals the richness of the description that is possible with the portrait code while at the same time embodying its nuances.

An interpretation of Bertillon’s spoken portrait, Mixed media, 2019

This work draws a parallel between Bertillon systems and current ones. A webcam linked to a facial recognition algorithm captures the beholder’s face and translates it into numbers on a canvas, displaying it alongside Bertillon’s labelled faces.

Read more on algolit.net