FROG Conference Vienna

  • Dark Play in an AI based individualized money game.
Vortrag (conference paper)

Autor*innen

Margarete Jahrmann , Stefan Glasauer , Thomas Brandstetter (Lecturer Experimental Game Cultures, University of Applied Art Vienna)

Herausgeber*innenschaft

FROG conference Vienna

Ort, Datum

Wien, Österreich, 13. Oktober 2023

Schlagwörter

Spieltheorie, Spielforschung, Andere Geisteswissenschaften, Humanities, Game Studies

Text

Margarete Jahrmann & Stefan Glasauer Universität für Angewandte Kunst Wien, Experimental Game Cultures, Austria / Brandenburg University of Technology Cottbus – Senftenberg, Germany KOPFGELD: Dark Play in an AI based individualized money game. FROG 2023 – Talk The exemplary low interaction game KOPFGELD, developed in 2023 by Margarete Jahrmann & Stefan Glasauer and exhibited at Re:Publica Berlin (RP23.-) defines the price of a player’s face by using the latest developments in AI image generation and face recognition systems. The theoretical foundation of Aaron Trammell’s recent book Repairing Play (2023) gives us a framework to reflect this radical art game on dark play AI, face recognition and cash. KOPFGELD addresses the “non-consensual play” by AI systems with human entities. Actual face recognition directly capitalizes biometric data and AI systems turn human training of AI systems/interaction into cash. By looking into a camera the players agree (=dark pattern) that their face is used to train a closed AI system. Each face is monetarized by the AI: a “score” is attributed. It is higher the closer the calculated face is to the average face of all former players. From all locally stored faces a counterfeit is calculated that looks like the actual player, but does not actually exist. The new face is an OWN face — and serves as basis for a Geldschein (banknote) design. We use Stable Diffusion for an individualised Geldschein look, including the original camshot. By looking longer into the installation camera so that more pictures are taken, the player can bias the image database and thereby increase their score. Using methods of artistic research (LUDIC method), KOPFGELD furthers the understanding of non-consensual play and dark patterns of game design as introduced by Trammell (2023) and Zagal et.al. (2013). Situating the installation in the context of low interactions games (Wild 2023) and the artistic tradition of dark play as described by Sicart (2015), we will show how KOPFGELD provides a dark mirror in which we can see glimpses of a future of pervasive gamification driven by non-human players: “you are being played”.

Mediendateien

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Veröffentlicht Von: Margarete Jahrmann | Universität für Angewandte Kunst Wien | Veröffentlicht Am: 19. Februar 2024, 08:56 | Geändert Am: 19. Februar 2024, 09:01