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From Mythologies to Algorithms: Reading AI with Roland Barthes

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Introduction Artificial intelligence has rapidly become surrounded by a remarkably stable vocabulary. We are told that AI is inevitable, that algorithms know what we want, that data never lies, that machines will replace human workers, and that the future belongs to those who adapt. These expressions recur in newspaper headlines, corporate presentations, political speeches, and everyday conversation with such regularity that they have acquired the character of common sense. Public debate usually concerns whether they are true. Are algorithms genuinely objective? Can AI understand us? Will automation inevitably transform every profession? Roland Barthes approached questions of this kind differently. Rather than asking whether such statements were true or false, he asked why they appeared so self-evident in the first place. The shift may seem subtle, but it changes the object of inquiry. Instead of evaluating the factual accuracy of particular claims, Barthes directs our attention to...

Learning Saussure Through Food, Fashion, and Everyday Life

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AI image Introduction A Science That Did Not Yet Exist Imagine trying to explain why a tuxedo belongs at an opera but looks absurd on a beach, why soup normally comes before dessert, or why in Europe a black suit seems appropriate at a funeral but not at a wedding. Most of us answer these questions effortlessly. We know what feels appropriate, elegant, ordinary, or strange without ever having studied the rules that govern such judgments. They simply appear natural. Yet they are not natural. Nothing in the fabric of a tuxedo contains elegance. Nothing in soup requires it to precede dessert. These meanings exist because we participate in systems of conventions that are so familiar they have become almost invisible. We learn them gradually, rarely reflect on them, and usually notice them only when someone breaks the rules. One of the most influential intellectual movements of the twentieth century began with the attempt to understand precisely these invisible systems. The surp...