There’s a growing movement to make assignments “AI-proof.” Unfortunately, that approach often leads us backward, toward surveillance, suspicion, and outdated methods. Instead, educators should aim for AI-resilient assessments: tasks that remain meaningful even when AI is part of the process.
AI-resistant assessments try to lock the doors. AI-resilient assessments open new ones.
Here’s what that looks like in practice:
- Require iterative drafts and reflections — ask students to explain how their ideas evolved.
- Encourage use of AI but demand transparency: What did you prompt it to do, and how did you verify its accuracy?
- Assess the process as much as the product.
- Shift from recall tasks to reasoning tasks.
Resilience means acknowledging that AI is here to stay, and teaching students to use it responsibly. It’s not about catching dishonesty; it’s about cultivating intellectual integrity.
We want learners who can work with AI without losing their own voice. That’s not resistance, that’s resilience.
Ask yourself: If AI disappeared tomorrow, would this task still matter?
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