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Orchestrate Ethical Curation Decision-Making
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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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Develop the 'Ethical Policy Agent' and 'Curation Recommender Agent'. The Policy Agent should query the 'PolicyDatabaseTool' via MCP based on the content's theme. The Curation Recommender Agent, powered by GPT-5, should receive input from both the Detector and Policy agents, then synthesize a justified action (e.g., 'Label as AI', 'Flag for human review', 'Remove') according to ethical guidelines. Ensure explicit A2A communication is logged.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.