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Frederik De Bleser &amp; Lieven Menschaert are part of the The Algorithmic Gaze&#8217;s team.The applications of artificial intelligence are everywhere: just think of image recognition, recommendation algorithms, voice and face recognition algorithms, &#8230; In the arts, AI also leads to interesting results, however often by using powerful hardware or existing datasets, and thus beyond the reach or control of most artists.Our mission is to bring AI into the artist&#8217;s practice by developing open-source tools and methodologies that make the domain more accessible and transparent. Our research asks how AI can become a trusted partner in the creative process, both during creation and execution. We explore how AI understands the materiality of body, space and time. Our approach avoids megalomanic datasets; instead we focus on carefully self-assembled datasets and an intuitive visual understanding of algorithms to avoid the bias inherent in large-scale models and take ownership of our own &#8220;small AI.&#8221;Frederik De Bleser is a researcher and lecturer at Sint Lucas Antwerp. His research focuses on the connection between art and technology and the development of free software tools for generative design, data visualization and artificial intelligence.Lieven Menschaert is a researcher and lecturer at Sint Lucas Antwerp and LUCA school of arts. His main interest is in generative and computational design and thus sees AI and machine learning as the logical next step in a procedural generation practice.
<a href="https://www.eventbrite.com/e/masterclass-by-creative-ai-tickets-439015556347">Purchase your ticket here</a>

The Algorithmic Gaze

Machine learning for creative purposes has progressed in leaps and bounds in the last years. But the whole process still feels like black magic. What does it take to train your own model? How do you even get started? And how can you use this process creatively?
During this workshop we&#8217;ll introduce some works made with creative AI and explore what it could mean for an artistic practice. We&#8217;ll go over the different steps on how to train an image-to-image model based on a dataset. The goal is to work together as a group to build one or two machine learning models.
This workshop is based on the research and tools developed by &#8220;The Algorithmic Gaze&#8221;, such as Figment, to get the data ready for training.
Participants should bring their own laptop. If you have an interesting, medium-size dataset (2000+ images) you can bring that as well.

Creative AI

Creative AI. Image to image translation into practice

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Creative AI – Image to image translation into practice

Associate producer, executive producer, curator and film and television curator for more than 25 years, Audrey Pacart is now a creative producer and consultant specializing in immersive content.
She recently produced the virtual reality film Marco Polo Go Round, presented at major festivals around the world. Audrey Pacart is also an associate programmer at TRIBECA Immersive.
<a href="https://www.eventbrite.com/e/masterclass-by-audrey-pacart-tickets-435568947447">Purchase your ticket by clicking here</a>

Audrey Pacart

Case Study on Marco &amp; Polo Go Round. The context of VR production, funding, making and challenges. Do and don&#8217;t. What are the prospects for the future? How does this differ from the production of other immersive works?

Producing in VR, a headache?

Benjamin Coriat is a French economist specialising in industrial economics, innovation and intellectual property. He has a degree in philosophy and a doctorate in economics. He is a professor emeritus at the University of Paris-Nord and a member of the Economistes Atterrés. He is also the author of numerous publications on the theme of the commons, including &#8220;Le retour des communs: la crise de l&#8217;idéologie propriétaire&#8221; (The return of the commons: the crisis of proprietary ideology), &#8220;Propriété et communs: idées reçues et propositions&#8221; (Property and the commons: received ideas and proposals) and, more recently, &#8220;La pandémie, l&#8217;Anthropocène et le bien commun&#8221; (The pandemic, the Anthropocene and the common good).

Benjamin Coriat

The commons call for the collective management of shared resources. But more than that, the commons propose another way of inhabiting the world, emphasising the way in which we are all interconnected and thus inviting us to re-explore the notion of the common good. As territories of experimentation, what can the commons do for culture today? Can culture be crossed by their logic? If so, to satisfy what hopes? By overcoming what challenges? Let&#8217;s look together at the answers we can give to these questions.

Producing in VR, a headache?

AboutAudrey Pacart

Workshops and MasterclassesProducing in VR, a headache?

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Rethinking culture as a common good: challenges and hopes?

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Creative AI – Image to image translation into practice