Identify exposure feedback loops and add guardrails that protect slate quality and fairness.
The move: measure the footprint, not just the clicks. Map the risk Ask who is affected by the slate: users, creators, sellers, instructors, regions, brands, or protected groups. A recommender can help one group while narrowing opportunity for another. Measure the slices Aggregate accuracy hides harm. Track coverage, exposure share, error rates, complaint rates, and satisfaction by meaningful slices. Include the items the model did not show, because silence is often a product of ranking. Manage the loop Use exploration, re-ranking constraints, minimum coverage, freshness policies, and review routines. The point is not to make every slate equal; it is…
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