In the digital age, the intersection of data, technology, and antitrust enforcement has brought algorithms into focus as potential tools for uncovering anticompetitive practices and improving decision-making. However, concerns about algorithmic bias have raised questions about their use in this critical field. This article examines the balance between the benefits of algorithms in antitrust enforcement and the genuine concerns surrounding bias. It argues that while algorithmic bias should not be
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