Should the proxy recommendation standards adopt an open-source model?

If ai systems start to provide more commercialized recommendation content, then perhaps we will eventually need to establish a unified set of standards to regulate the operation of this process. The question is: Who should determine these standards? Here are some possible approaches: Each platform has its own rules. Advertising or affiliate networks will adjust their models. Developers in a consortium will jointly set standards. Open protocols come first. Industry organizations or standard-setting bodies have intervened. My intuition is that standards completely controlled by the platforms are unlikely to gain trust. This layer involves not only technical aspects but also aspects such as information disclosure, ownership, revenue distribution, ranking logic, and user control. However, a standard completely determined by the community might progress slowly and might not solve actual supply, tracking, or settlement problems. So perhaps a reasonable division should be: Which aspects must remain open, and which aspects can be commercially operated? For example, should the format of information disclosure, ownership events, ranking signals, and user control rights adopt open standards, while market platforms, analysis tools, and settlement services still remain commercial in nature? I'm curious about others' opinions on this. If the agent recommendation mechanism can truly form a distribution platform, then how can we ensure that it will not be controlled by a single platform from the very beginning?