In fact, it is not the algorithm recommendation service that needs to be governed, but the people and platforms that control the algorithm recommendation service. As the relevant person in charge of the Network Information Office said, formulate targeted algorithm recommendation regulations and "clarify the main responsibility of algorithm recommendation service providers". When providing algorithm recommendation service, what qualifications should be possessed, what obligations should be undertaken, what boundaries should be maintained, etc. The regulation establishes strict and clear specifications for algorithm recommendation service providers.
It is worth mentioning that the regulations also clarify the basic rights and interests enjoyed by users. For example, the right to know the algorithm, the platform should inform users of the situation of providing algorithm recommendation service, and publicize the basic principle, purpose and intention of the service and the main operating mechanism. Another example is the algorithm option. If the user chooses to close the algorithm recommendation service, the algorithm recommendation service provider shall immediately stop providing related services. These two system designs not only protect the legitimate rights and interests of users, but also draw a red line for algorithm recommendation service providers.
Algorithms should also be ethical. After all, it needs a platform to talk about ethics. This kind of ethics is not only reflected in "not using algorithm recommendation service to engage in activities prohibited by laws and administrative regulations, such as endangering national security and social public interests, disrupting economic order and social order, infringing on the legitimate rights and interests of others, and not using algorithm recommendation service to spread information prohibited by laws and administrative regulations", but also in "not setting up algorithm models that induce users to indulge and consume excessively and violate laws, regulations or ethics".
In the public life experience, too many people suffer from the pain of "big data killing". As for some platforms that use algorithmic recommendation services to induce minors to indulge in the internet, it is even more abhorrent. It is immoral to use new technology to gain ill-gotten gains and even treat teenagers as prey. This business model is immoral and should have been strictly regulated long ago.
Algorithm recommendation has commercial impulse and value orientation. To a certain extent, what kind of information the platform recommends to users through algorithm application not only reflects the "taste" of users, but also reflects the values of the platform. If you blindly recommend those unhealthy things, its business model is obviously morbid, and the platform will certainly not win the respect of users, making it difficult to be stable and far-reaching.
Some experts believe that the application of algorithms is increasingly affecting the shaping of public cognition and social ideology, and even becoming the basic force affecting resource allocation. Therefore, it is urgent and necessary to guide algorithm technology to be good and give more play to its ability to guide mainstream values. We must control the application of the algorithm, but we cannot be controlled by it. It requires the joint efforts of the whole society to guide the platform to apply algorithm recommendation in a legal and compliant track, to seek advantages and avoid disadvantages, and to exert the charm of new technologies.