AI Algorithm Audits: Key Control Considerations

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AI Algorithm Audits: Key Control Considerations

The article discusses the importance of algorithmic audits in ensuring the responsibility and trustworthiness of artificial intelligence (AI) as more enterprises and consumers adopt AI-based applications. It highlights the regulations and frameworks enacted by government agencies and intergovernmental organizations to drive increased oversight and accountability in AI usage, such as the EU AI Act and the AI Bill of Rights in the United States.

Algorithmic auditing is crucial for evaluating machine learning applications and understanding the emergence of bias in model-building processes. The article mentions a case where the Australian Competition and Consumer Commission (ACCC) audited a popular hotel search engine, revealing unfair ranking practices. Despite challenges like the lack of a mature framework for AI subprocess audits, algorithmic audits play a vital role in uncovering the logic behind AI outputs and ensuring responsible AI practices.

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