Artificial intelligence (AI) is increasingly influencing critical societal decisions, from content moderation to public safety measures, yet it poses significant governance challenges. Historically framed as an ethics issue encompassing fairness and transparency, the failures of AI systems often stem from unclear responsibilities and weak oversight rather than just technical flaws. The governance gaps include a lack of ownership for AI systems and ineffective regulatory measures. AI’s integration into platforms and public services amplifies these issues, especially concerning child safety and the rapid spread of harmful content. Effective governance of AI must involve clear ownership, defined oversight roles, and proactive monitoring, moving beyond theoretical discussions to actionable strategies. As regulations evolve, responsible AI becomes essential for building public trust and ensuring that advancements in technology align with societal values. Addressing these governance challenges is crucial for minimizing risk and promoting safe, responsible AI utilization.
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