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Test with Varied Content Scenarios

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Linked challenge: Ethical AI Content Curation

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Linked challenge
Ethical AI Content Curation

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Original prompt text with formatting preserved for inspection.

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Test your AutoGen system with three diverse content scenarios: 1) a subtly AI-generated news article, 2) a clearly human-written but controversial social media post (to ensure false positives are low), and 3) a simulated deepfake video description. For each, verify the agents' authenticity assessment, ethical reasoning, and recommended curation action. Document the entire agent conversation and tool calls.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.