معرفی
Koray Karaca is an Assistant Professor in Philosophy, specializing in the intersection of Artificial Intelligence, Machine Learning, and Philosophy of Science. His work critically examines epistemic and ethical dimensions of AI, with a focus on Knowledge Representation and Reasoning, Human-AI Interaction, and Experimental Methodology in high-energy physics.
Research interests span Artificial Intelligence, Autonomous Agent Systems, and Scientific Modeling. His studies analyze diagrammatic representations in collaborative particle physics experiments, inductive risk in ML modeling, and robustness in experimental results.
Recent publications explore experimental robustness, Higgs mechanism epistemology, and ethical frameworks for AI. His work combines Physics, Machine Learning, and Philosophical Analysis, addressing challenges in theory-ladenness, data acquisition, and interdisciplinary collaboration.
Karaca’s contributions include developing design thinking frameworks for AI systems and evaluating scientific unification across physics domains. His studies on binary classification models highlight the societal implications of technical decisions in machine learning.
