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首页> 外文期刊>The Antitrust Bulletin >Article 101 TFEU's Association of Undertakings Notion and Its Surprising Potential to Help Distinguish Acceptable from Unacceptable Algorithmic Collusion
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Article 101 TFEU's Association of Undertakings Notion and Its Surprising Potential to Help Distinguish Acceptable from Unacceptable Algorithmic Collusion

机译：第101条TFEU的事业概念协会及其令人惊讶的潜力，帮助区分可接受的算法勾结

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摘要

The machine learning capabilities of new technologies raise provocative questions and challenges for the development of competition law within the digital economy. Academic discussions have focused on how antitrust law should avoid, anticipate, and respond to such behavior. The predominant emerging narrative is that antitrust law, in its current form, is unable to distinguish between acceptable and unacceptable algorithmic collusion. The purpose of this article is to challenge that claim in the context of Article 101 Treaty on the Functioning of the European Union (EU). The reference within Article 101 TFEU to “associations of undertakings” plays a crucial role in that regard and offers a promising tool to better identify and regulate forms of unacceptable algorithmic collusion. Against that background, this article will propose an alternative compliance-focused way forward that could be set up without requiring modifications to the EU legal framework.
机译：新技术的机器学习能力提高了数字经济中竞争法发展的挑衅性问题和挑战。学术讨论侧重于反托拉斯法应如何避免，预测和应对此类行为。主要的出现叙事是，其目前的形式，反托拉斯法无法区分可接受和不可接受的算法勾结。本文的目的是挑战在欧盟（欧盟）的运作情况第101条条约第101条条约的情况下挑战。第101条TFEU内的参考“承诺协会”在这方面发挥着至关重要的作用，并提供了一个有前途的工具，可以更好地识别和调节不可接受的算法勾结形式。在此背景下，本文将提出可替代的符合合规方式，可以在不需要对欧盟法律框架进行修改的情况下建立。

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