Introducing: Typologies of Delusion

<p>The swift advancement of AI-driven image-generation technologies is a topic of great importance to artists and the creative industries. Tools such as Midjourney, Adobe Firefly, and Stable Diffusion are rapidly transitioning from experimental to essential assets for digital artists and designers. However, we are still trying to grasp their practical potential, their meaningful application and legal implications. “Typologies of Delusion” is a project that seeks to contribute to this conversation via a research-through-practice approach.</p> <h1>Goals</h1> <p>While keeping an eye on emerging AI tools made for creatives, Typologies of Delusion focuses on the use of Stable Diffusion, an open-source image generation programme, to</p> <ol> <li>train neural networks informed by audiovisual archives,</li> <li>use these networks to render images that can provide new insights about the archive’s narrative and aesthetics, and</li> <li>unfold the storytelling potential of the tools in use for exploring alternative workflows in the ideation and production of audiovisual art.</li> </ol> <h1>The Polygoonjournaal collection</h1> <p>As a starting point, we are working with the emblematic “Polygoonjournaal”, a collection of more than 2000 newsreels produced between the early 1920s and the late 1980s by the Dutch production company Polygoon-Profilti. We are training neural networks with a variety of datasets made from these films, and we will use them to interrogate the archives.</p> <p><a href="https://medium.com/@pnunezpalma/introducing-typologies-of-delusion-f5f51c237ac1"><strong>Read More</strong></a></p>