Code Chronicles Opening Reception!

bitforms gallery and Aleksandra.Art present C O D E C H R O N I C L E S Opening reception: Friday, March 3, 6 – 8 PM Exhibition Dates: March 3 – April 15, 2023 Gallery hours: Tuesday–Saturday, 11 AM – 6 PM Curated by Aleksandra.Art Artists: Ana María Caballero, @CaballeroAnaMa Sarah Friend, @isthisanart_ LIA, @liasomething Sara Ludy, @sara_ludy Maya Man, @mayaonthenet Sarah Ridgley, @sarah_ridgley Helena Sarin, @NeuralBricolage Ivona Tau, @ivonatau CODE CHRONICLES examines how generative systems mediate continuity with artworks from eight pioneering artists: Ana María Caballero, Sarah Friend, LIA, Sara Ludy, Maya Man, Sarah Ridgley, Helena Sarin, and Ivona Tau. Exhibited works riff on interdisciplinary themes of perception, impermanence, obscurity, and memory, plotting a collection of points whose coordinates satisfy a given relation to one another. Code Chronicles is curated by Aleksandra Artamonovskaja, a creative producer whose work explores manifestations of digital identities and the role of art in the digital future. The internet began as a collection of networks, and matured into a tool for personal expression. Now in its third iteration, web3 intends to allow users to carry information across discrete platforms and form a unified identity based on their interactions. Likewise, progressive art forms engaged with blockchain technology encourage audiences to co-create with artists through parameters encoded into artistic media. These artist-collector relationships occasionally supplement generative systems based on a minter’s time zone, latitude, wallet address, or other objective datapoint. In part, Code Chronicles focuses attention on chance iterations enabled by generative processes. Although AI and generative practices are both forms of computational art, generative art dates to the mid-twentieth century, while AI has emerged by leveraging advancements in machine learning. Since generative art typically relies on mathematical algorithms or rule-based systems, it tends to offer artists more control over the outcome and provides a determined aesthetic. Artificial intelligence, however, learns patterns in a given dataset to render imagery. The fidelity of AI outputs are determined by a recursive combination of created or found image-data, and artistic instruction.