00:11:33:02 → Kate Crawford


They are trying to come up with a quantification of ideas and concepts that in some cases are highly qualitative, subjective, in flux, and relational. Think about beauty or emotions. Machine learning systems are attempting to codify these in extremely narrow and systematic ways. AI systems are deploying this flattening of human complexity, emotional richness and depth. What we are losing here is really the sense of humans as multifarious, complex, changing creatures that are always in relation to each other and a wider environment and ecology.



00:11:33:02 →

Each object in the extended network of an AI system, from network routers to batteries to data centers, is built using elements that require billions of years to form inside the earth.

Over and over, we see the ideology of Cartesian dualism in AI: the fantasy that AI systems are disembodied brains that absorb and produce knowledge independently from their creators, infrastructures, and the world at large. These illusions distract us from the more relevant questions: Whom do these systems serve? What are the political economies of their construction? What are the wider planetary consequences?"

Crawford, Kate. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press, 2021.




Kate CrawfordWriter and Academic