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ChatGPT presents a significant disruption in the ways of knowing that highlight the value of control and mastery of knowledge as a quest for certainty. ChatGPT, as a step toward Artificial General Intelligence (AGI) lets us surface Schön's prescient insight on the crisis of confidence in professionals. Instead of hastily asking questions about how to cope with the advances in artificial intelligence from the gaze of deficit and improvement, however, we resort to the nonrepresentational epistemologies that highlights reflection as seeing as . How might we reconceptualize a professional knowledge model that encourages ethical commitment to enacting practices that deploy relational forces within high-pressure, time-constrained professional environments? We attempt to answer the question by proposing a theory that cultivates conditions for experimenting with experiential encounters with others and creatively activating potentials, which we call generative knowing. Doing so, we suggest how compassionately disruptive condition mobilizes professional learners to engage the machinic creativity that collapses semiotic chains and effectuates diverse imaginations of the future of becoming-with ChatGPT.
Galimberti et al. (Tue,) studied this question.