Technological advancement has brought people a lot of convenience and also caused many problems. Algorithm recommendation technology is one of them.
The most typical case is the phenomenon of "big data killing familiarity": it is obviously the same product, but the price seen by old users is higher than that of new users, and many people unknowingly spend "unjustified money."
Some Internet platforms use algorithmic technology to "see people's dishes". Does it violate market fairness?
Fortunately, there is a "statement" for algorithm management.
The State Internet Information Office and other departments have recently jointly issued the "Internet Information Service Algorithm Recommendation Management Regulations" to comprehensively regulate algorithm recommendation services.
In recent years, digitization, networking, and intelligence have accelerated, and algorithms are becoming the underlying architecture of network platforms.
While the application of algorithms injects new kinetic energy into economic and social development, it also produces unreasonable applications such as algorithm manipulation, algorithm discrimination, and inducing addiction, which affects the normal communication order, market order, and social order.
It is more and more necessary and important to strengthen algorithmic governance.
For example, the "Regulations" require that algorithms should not be used to implement unreasonable differential treatment on transaction conditions such as transaction prices based on consumer preferences, transaction habits and other characteristics, which will effectively curb "big data".
Giving a "paraphrase" to the algorithm and the introduction of targeted algorithm recommendation rules and regulations in the field of Internet information services is an important measure to comply with the trend of international algorithm governance, which will help my country to participate in international algorithm governance cooperation and play a leading role in algorithm governance on a global scale effect.
From a global perspective, algorithmic governance has become an important topic of widespread concern in the international community.
At the level of international organizations, many countries have successively issued ethical guidelines such as artificial intelligence and algorithms to promote algorithms to be transparent, interpretable, fair and just, safe and controllable.
At the regional and national levels, the European Union has proposed a technological sovereignty discourse system, through the construction of a series of laws and regulations, to continue to curb US giant platforms from grabbing European data resources, and to protect the basic rights of European citizens.
Improving the algorithmic management legislative system will also escort my country's participation in the global digital economy competition.
To give an algorithm a "statement" is the need to prevent and defuse security risks and improve the level of supervision capabilities.
The promulgation of the "Regulations" has undoubtedly placed a "tightening curse" on algorithm recommendation service providers, but how to implement the specific terms is still a big problem.
Algorithm recommendation service governance requires the participation of multiple entities such as the government, enterprises, society, and netizens, to promote fairness, fairness, standardization and transparency of algorithm recommendation services, promote algorithm recommendation services to improve, and create a clearer cyberspace.
(This article source: Economic Daily Author: Wang Yichen)