首页|算法共谋的反垄断法规制挑战与对策

算法共谋的反垄断法规制挑战与对策

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算法的应用导致了算法共谋风险,引起各国反垄断执法机构的关注.算法共谋具体分为算法明示共谋以及算法默示共谋,这些问题对传统反垄断法理论造成冲击,且不同程度地对反垄断规制框架提出挑战,包括算法共谋行为的隐蔽导致发现困难以及取证困难,难以对违法主体进行归责,难以认定算法默示共谋的违法性.为回应算法共谋难题,反垄断规制机构应当扩充制度工具箱,明确算法共谋的违法性认定框架,完善共同市场支配地位制度以及违法信息发现机制,并设置算法规制要求.在算法共谋违法的认定框架方面,对存在意思联络与明确协议的算法共谋沿用垄断协议制度.而针对缺乏意思联络要件以及无法证明存在协议的,应将其纳入共同市场支配地位制度的调制范畴,以"滥用行为"的形式规制算法滥用行为.
Countermeasures to the Challenges of Anti-monopoly Law on Algorithmic Collusion
The application of algorithms has led to the risk of algorithmic collusion,which has attracted the at-tention of anti-monopoly law enforcement agencies in various countries.Algorithmic collusion is specifically di-vided into algorithmic explicit collusion and algorithmic tacit collusion.These problems have impacted the tra-ditional antitrust law theories and challenged the antitrust regulatory framework.It is difficult to find the clues and evidence of algorithmic collusion.It is also hard to judge the illegality of behavior and impose responsibility on the violating subject.In response to these problems,antitrust regulatory agencies should expand the institu-tional toolbox,clarify the illegality determination framework of algorithmic collusion,improve the common market dominance system and illegal information discovery mechanism,and set regulatory requirements on al-gorithm.Regarding the determination framework of algorithmic collusion violations,the monopoly agreement system could be used for algorithmic collusion with contact intention and clear agreement.However,if there is a lack of intentional communication and the existence of an agreement cannot be proved,it should be classified within the regulation scope of the common market dominance system,and the abuse of algorithms should be regulated in the form of"abusive behavior".

Algorithmic collusionAntitrust lawTacit collusionCommon market dominanceMonopoly a-greement

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南京大学法学院,江苏南京 210093

算法共谋 反垄断法 默示共谋 共同市场支配地位 垄断协议

2024

大连理工大学学报(社会科学版)
大连理工大学

大连理工大学学报(社会科学版)

CSSCICHSSCD北大核心
影响因子:0.8
ISSN:1008-407X
年,卷(期):2024.45(4)