Essay by Audrey Tang: “When people ask whether AI threatens humanism, I often feel the question arrives a little late. The deeper threat came earlier, when digital systems learned to sort attention at industrial scale. Long before generative models could write essays, compose songs or simulate conversation, many of us had already been trained to behave like components inside ranking systems: always visible, always reactive, always measurable. By the time synthetic fluency arrived, a quieter transformation was underway. We were becoming easier to score.
This is why I do not think the seminal question of this century is whether machines will become more human. The question is whether humans will still be allowed to remain more than something that machines can easily evaluate.
I have seen both possibilities. On one hand, a language model can help me enter a conversation I otherwise could not have had. Before meeting a Japanese thinker, whose newest work I could not read in the original, I used AI to build a working vocabulary across our different philosophical traditions. The system did not replace the encounter. It made the encounter possible. Once the conversation began, the model’s importance began to fade. It had done its work well precisely because it no longer needed to be at the center.
On the other hand, we have all experienced systems that do the opposite. They do not deepen understanding. They train people to live at the tempo of the feed, to compress themselves into whatever is most legible to the platform, and to mistake constant reaction for participation. The issue is not that AI will talk like us. The issue is that institutions will reward us for talking like machines.
Our scarcity is not content. It is mutual comprehension. A humane technological future will not be secured by sentimentality, nor by a nostalgic defense of every task that software can now accelerate. It will depend on whether we can design tools, institutions and norms that protect what is distinctively human in public life: the capacity to interpret one another across differences, to make commitments that bind us over time, to revise ourselves without humiliation, to hold power answerable and to care for consequences that no benchmark can fully capture…(More)”.
