Bernd Wiest :
The real danger may not be that AI develops its own moral values, but that we forget what it fundamentally is: a statistical compression of human artifacts. If world literature, media, comments, scientific texts, and the cultural self-images of humanity form the training foundation, then AI does not learn “truth” or “ethics” — it learns probabilities of human meaning-making. Paradoxically, we expect AI to be fairer, more rational, and more objective than we are ourselves, even though it is built from the very data in which our biases, power structures, cultural distortions, and historical inequalities are already embedded. AI does not adopt these values actively like a conscious being. It statistically reconstructs the patterns that humans have left behind over decades and centuries in language, stories, media, and decisions. In that sense, AI holds up a mirror to society — because it reveals not only what the world is, but also what we ourselves have written, told, and preserved about ourselves and the world. The real problem begins when these statistical models no longer just generate text, but begin to produce real-world effects: in decisions, prioritization, recommendations, and societal governance.
2026-05-17 08:49:41