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Wolfgang Stegmüller
philosopher · 4 mentions across 1 reading
In this course
Stegmüller is a philosopher of science known for analyzing the structure and dynamics of scientific theories, particularly challenging the idea that science progresses uniformly and convergently toward truth. In these readings, his work on theory-ladenness and the problem of reducibility at both micro and macro levels grounds debates about whether scientific knowledge genuinely accumulates or whether our concepts remain arbitrarily structured, a question crucial to understanding how AI systems inherit and perpetuate the theory-laden assumptions embedded in their training data. His skepticism about convergent scientific progress becomes essential for interrogating claims that machine learning models achieve objective understanding rather than simply systematizing particular epistemic frameworks.
Mentioned in 1 reading
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