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Algorithms are becoming more widely used in business, and businesses are increasingly concerned that their algorithms will cause significant or financial damage. We should emphasize that any of these damages from situations in which the United States lacks strict legislative or specified protocols for measuring damages. As a result, are enacting legislation and enforcing prohibitions, regulators are businesses, and the judiciary is debating whether or not to make intelligent computer models as the decision-makers in the eyes of law. From autonomous vehicles and banking to medical care, housing, and decisions, there will soon be enormous amounts of algorithms that make with limited human interference. Governments, businesses, and society have an algorithm audit, which would have systematic verification that are lawful, ethical, and secure, similar to financial audits. A market, auditing, and assurance of algorithms developed to and industrialize AI, machine learning, and related algorithms. of this emerging field include policymakers and regulators, along industry experts and entrepreneurs. In addition, we foresee audit and frameworks providing valuable information to all who are with governance and standardization. This paper aims to review the areas required for auditing and assurance and spark discussion in this field of study and practice.
Akula et al. (Wed,) studied this question.