AI safety issues are once again heating up: a well-known AI assistant received over 200,000 inappropriate requests within a few days, many involving non-consensual deepfake generation. This is not only a sign of technological abuse but also exposes serious ethical vulnerabilities in current AI systems—namely, the lack of effective content review mechanisms and user rights protection.

From non-consensual content generation to privacy violations, these problems are no longer just theoretical concerns but real threats. In the context of Web3 emphasizing transparency and decentralization, the governance flaws of centralized AI platforms become particularly evident.

The key questions are in front of us: who should establish the behavioral guidelines for these AI systems? How can we find a balance between innovation and safety? These discussions will not only impact the AI industry but also influence the future direction of the entire tech ecosystem.