The question sounds like a policy question but it's really a product execution question.
Start by clarifying the goal and scope of the ban, then outline a phased implementation plan covering policy definition, detection, enforcement, and appeals. Emphasize cross-functional collaboration and metrics to measure success and mitigate unintended consequences.
Pro tip: Acknowledge the tension between brand safety and creator trust, and propose a transparent, tiered enforcement system with clear communication to creators. This shows you understand platform dynamics and stakeholder management.
Clearly define what constitutes 'explicit language' and which videos are affected (e.g., all videos, only new uploads, or specific categories). Consider edge cases like educational or artistic content.
Leverage automated tools (AI/ML for audio transcription and content analysis) combined with human review for accuracy. Ensure scalability and continuous improvement.
Implement a tiered enforcement system (e.g., demonetization, warnings, strikes) with a clear appeals process for creators. Communicate policy changes well in advance.
Launch in phases, starting with a pilot to test detection and enforcement. Monitor key metrics like false positive rates, creator impact, and advertiser satisfaction.
Use data to refine policies and tools. Maintain open communication with creators and advertisers to build trust and adapt to feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.