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About Audit Practitioners Guide To Machine Learning Part 1 - WHPAPG1 - WHP - Eng - 1022
The document provides an overview of why auditing AI/ML applications is important as adoption increases. Key risks include data privacy issues from using personal data to train models, potential unfairness or bias in model outcomes, and loss of brand reputation and trust if models make inaccurate predictions. These challenges relate to both technology risks from how models are developed and compliance risks from regulations around data privacy and other issues. Audits are needed to evaluate risks across the full development process and help ensure models are accurate, fair, and comply with relevant laws and standards.
Detailed Information
Author: | ['Geelyn Marie Luzon'] |
---|---|
Publication Year: | 2024 |
Pages: | 21 |
Language: | English |
Format: | |
Price: | FREE |
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