In recent years, important concerns have been raised about the increasing capabilities of pricing algorithms to make use of artificial intelligence (AI) technologies. Two issues have gained particular attention: algorithmic price discrimination (PD) and algorithmic tacit collusion (TC). Although the risks and opportunities of both practices have been explored extensively in the literature, neither has yet been observed in the actual practice. As a result, there remains much confusion as to the ability of algorithms to engage in potentially harmful behavior with respect to price discrimination and collusion. In this article, we embed the economic and legal literature on these topics in a technological grounding to provide a more objective account of the capabilities of current AI technologies to engage in price discrimination and collusion. We argue that attention to these current technological capabilities should more directly inform on-going discussions on the urgency to reform legal rules or enforcement practices governing algorithmic PD and TC.

近年来，人们对定价算法利用人工智能（AI）技术的能力日益增强提出了重大关注。有两个问题受到了特别的关注：算法价格歧视（PD）和算法默认共谋（TC）。尽管在文献中已经广泛地探讨了这两种做法的风险和机遇，但在实际实践中都没有发现。结果，在价格歧视和串通方面，算法参与潜在有害行为的能力仍然存在很多困惑。在本文中，我们以技术为基础嵌入了有关这些主题的经济和法律文献，以更客观地说明当前AI技术参与价格歧视和串通的能力。