The human dimension. Jobs, bias, surveillance, education, healthcare, agriculture, language and creativity — what happens when AI meets the messiness of actual lives.
Two education models are placing opposite bets on the same technology this fall: the University of Chicago is banning AI from its core undergraduate courses, while Alpha School is expanding its AI-driven, largely teacher-free model to roughly 50 campuses nationwide.
Across global research institutions and self-driving laboratories, Autonomous AI Scientists are taking over the experimental pipeline—independently formulating hypotheses, executing lab tests via connected hardware, and self-correcting results up to ten times faster than humanly possible.
The useful unit of analysis is the task, not the occupation. Almost no job is fully automatable, and almost every job contains tasks that are.
Most of the harm attributed to biased models is decided upstream: what the system is asked to predict, and what data was available to predict it from.
