Design a harmful video content moderation system

Q: Design a harmful video content moderation system

This question evaluates a candidate's competency in designing scalable, multi-modal machine learning systems for content moderation, covering architecture, model strategy, labeling and human-in-the-loop workflows, metrics, auditability, and defenses against adversarial evasion.

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Question

Question

Design an end-to-end system to detect and moderate harmful videos on a large platform.

Requirements

Detect multiple policy categories (violence, self-harm, hate, sexual content, etc.).
Operate at upload time and for already-published content.
Combine automated decisions with human review.
Minimize both false negatives (missed harmful content) and false positives (wrongful removals).
Provide appeals and auditability.

Deliverables

Architecture, model strategy (multi-modal), labeling/review workflow, metrics, and how you handle adversarial evasion.

Design a harmful video content moderation system

Question

Requirements

Deliverables

Solution

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Design a harmful video content moderation system

Overview

Question

Requirements

Deliverables

Solution

Comments (0)