The adoption of artificial intelligence in creative practices has sparked as much resistance as fascination. While the debate in the fields of art and design has long focused on generative AI—producing images, videos, and texts often reduced to the dismissive term "slop"—the configurations in which AI can currently be deployed are far more diverse, depending on levels of agency, tool choices, and practice intentions.
This course presents a panorama of strategies and experimental applications developed by contemporary artists and designers, organized around three axes: proprietary generative AI, open-source generative AI, and agentive AI. Each axis addresses critical issues and modes of appropriation, followed by concrete experiments with proprietary tools (Wavy and Claude Code) and open-source tools (ComfyUI). The final project, grounded in real-world materials—field recordings, ethnographic investigations, and deployed prototypes functioning as interactive probes—extends a direct experimental approach: manipulating, subverting, and interrogating these tools through practice.