David Joselit
writer · 2 mentions across 1 reading
In this course
David Joselit's work on Duchamp's use of signs and interactive spectatorial engagement becomes crucial for understanding how conceptual art anticipates cybernetic feedback loops and distributed meaning-making systems. His framing of Duchamp's ludic strategies—where form, content, and meaning become unstable and contingent on the viewer's participation—provides historical grounding for contemporary discussions of how AI systems and algorithmic architectures similarly distribute agency across human and non-human actors. By positioning Duchamp as a precursor to interactive and systems-based thinking, Joselit enables the course to trace genealogies connecting mid-century art practice to cybersemiotic and complexity theory frameworks that underpin modern machine learning architectures.
Mentioned in 1 reading
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