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Highlights
* Instead of banning AI, leverage it by redesigning assignments, such as coding an adventure game and then using AI to expand its narrative, focusing on student interaction with the tool.
* Shift from simply using AI to critically evaluating its outputs; focus professional development on understanding AI's limitations, biases, and ethical implications within specific subject areas.
* Prioritize "Purpose Over Technology" by defining *why* a subject is taught and what human capabilities are cultivated *before* determining how AI might serve those educational goals.
* Raise expectations for student work: if AI can produce mediocre essays, design assignments that demand depth, critical thought, unique context, and genuine imagination that machines cannot replicate.
* Approach AI integration with an evidence-based mindset, questioning assumptions about cheating or workload reduction, and researching its actual impact on learning processes.
* Implement a "human-in-the-loop" principle, where educators use AI outputs as drafts, applying their wisdom, judgment, and care to refine and improve them, protecting core human domains.

Mentioned
* *Stanford Report*
* Mehran Sahami
* Karin Forssell
* Victor Lee
* Stanford’s Computer Science 106A
* "Infinite Story" assignment
* Stanford’s AI Tinkery
* "Purpose Over Technology" framework
* "Three Ps" of assessment

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