The limitations and possibilities of using computational models, specifically AI, in environmental inquiry and the implications of a systems view of the environment.
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Yet even here, shadows persist. If the interlocutor is silicon, what becomes of mentorship? If judgment is a distributed function, how do we teach discernment? These are not rhetorical flourishes. They are open questions. But perhaps the future of education will depend less on answers and more on attunement, on cultivating in students the sensibili... See more
The production of ignorance and not-knowing is rife in an information ecosystem increasingly mediated by AI. As a result, we mistake probabilistic guesses for ‘hallucinations.’ We mistake reflections in a mirror for a prediction about the future. We mistake uncertainty for risk we can manage. We mistake the production of ignorance for intelligence.... See more
But as AI accelerates our ability to (1) generate, (2) manipulate, and (3) distribute information, this weird tension becomes even more pronounced. We're entering an era where the battle between content and context will reshape how all policy is created, communicated, and understood. Digital platforms and AI tools have created an environment where: