What is the purpose of an AI audit?

Prepare for the IAPP AI Governance Test with our study tools, including flashcards and multiple-choice questions. Each question comes with helpful hints and explanations to boost your readiness.

An AI audit serves a critical role in ensuring that artificial intelligence systems are aligned with legal and ethical standards. The primary purpose is to systematically review AI systems to confirm that they are compliant with relevant regulations, policies, and standards. This includes evaluating how these systems make decisions, the data they use, and their overall impact on users and society.

By conducting an AI audit, organizations can identify potential risks, biases, or shortcomings in their AI implementations. This process is essential in maintaining accountability and transparency, as well as in safeguarding users' rights. Compliance with regulations not only helps in avoiding legal repercussions but also builds trust among stakeholders, which is crucial for the sustainable advancement of AI technologies.

Other options presented do not align with the fundamental purpose of an AI audit. Generating more data for training, developing new models, or bypassing laws does not focus on the critical aspect of governance or compliance that an AI audit aims to address.

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