Opening Frame:
1. Recognising Model Limitations:
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LLMs operate on patterns derived from data; they do not experience, perceive, or act in the world.
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Absences in knowledge, misrepresentations, or overgeneralisations are inevitable.
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Readiness requires humans to detect and navigate these limitations, cultivating discernment alongside cognitive agility.
2. The Ethics of Co-Construal:
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Human responsibility is active: co-construction with the model entails critical evaluation, reflection, and selective integration.
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Blind spots are not just gaps; they are invitations for human judgment, correction, and extension.
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Ethical practice involves attending to who or what is excluded, and why — an awareness that informs both inquiry and action.
3. Discernment as Integral to Readiness:
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Readiness is not merely prepared cognition; it is responsible cognition.
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Humans must differentiate between insights to leverage and those to challenge, balancing trust in the model with skepticism and reflexivity.
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This cultivates a meta-awareness: humans learn to read not only outputs, but the semiotic logic and limitations underlying them.
4. Practical Implications:
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Encourage habitual checking: cross-referencing, questioning, and contextual evaluation.
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Emphasise the relational ecology: the model is a tool, not a surrogate for ethical or epistemic judgment.
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The interplay of scaffolded cognition and human discernment ensures that readiness is both potent and responsible.
Closing Reflection:
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