Algorithmic Biases in Computational Antitrust

Artificial intelligence (AI) is a key component in the field of antitrust, as it is utilized to analyze vast quantities of data with the aim of detecting indications of unjust business practices. This paper provides a comprehensive survey of the issue of algorithmic biases in computational antitrust with a focus in the United States. The paper will additionally examine the diverse solutions to address this issue, along with its ethical and legal implications. In conclusion, it is imperative for enterprises to adopt preventive measures to avert legal ramifications arising from partiality in algorithms utilized in antitrust

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Year of publication:	[2023]
Authors:	Peesari, Vydhrithi Reddy
Publisher:	[S.l.] : SSRN
Subject:	Theorie \| Theory \| Systematischer Fehler \| Bias \| Algorithmus \| Algorithm \| Kartellrecht \| Antitrust law \| Wettbewerbspolitik \| Competition policy \| Computerunterstützung \| Computerized method \| Mathematische Optimierung \| Mathematical programming

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