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AI consumes data and generates data, yet data itself is not a neutral artifact—it is socially constructed. What we choose to measure systematically both reflects and shapes society.
On the third day of the Wittgenstein Lectures 2025 (June 25), Diane Coyle will examine how data encodes societal values and biases, shaping AI-driven decision-making in profound and often overlooked ways.
This lecture argues that data functions as a form of code, influencing algorithmic decisions just as much as conventional programming. The Universal Turing Machine blurs the boundaries between hardware, software, and data, revealing their fluid interplay.

More information here: https://www.phil.uni-bayreuth.de/en/events/wittgenstein/index.html