Addressing false positives in the battle to prevent retail fraud

False positives are scenarios where legitimate customers get flagged as fraudsters. The customers either get blocked from the system or have to undergo unnecessary lengthy verification processes. Could technologies such as artificial intelligence (AI) and machine learning (ML) come to the rescue and efficiently minimise false positives?