Konstantin Mitrokhov | Model worlds: on generality and worlding in AI research

05. Nov

6:00 pm, 40.601

In this contribution Konstantin Mitrokhov attempts to make sense of the manifold ways in which the lifeworld is mediated in fundamental AI research, paying particular attention to the computational paradigms that aim to simulate (aspects of) the world. Mitrokhov focuses on the specific worldview that is manifested in and through these research practices. He will discuss his recent text, which analyses several technical articles that outline novel approaches to machine learning research and converge on the epistemic rendering of what the “world” is.

Konstantin Mitrokhov is a PhD candidate and scholarship holder at Leuphana University. After researching at the Karlsruhe Institute of Technology (KIT), studying at ArtEZ University of the Arts, Arnhem and the University of Westminster, he now works on his doctoral project "Games Agents Play: On Game-like Simulations and the Possibility of Generalist Artificial Intelligence".

Required reading: Mitrokhov, Konstantin. 2024. Between world models and model worlds: on generality, agency, and worlding in machine learning. AI & Society. DOI: 10.1007/s00146-024-02086-9.

An event organized by the Research Initiative The Disruptive Condition 
Contact: Anne Gräfe (anne.graefe@leuphana.de)