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Eliminate AI failures

Practical AI

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Balancing Automation and Human Judgment

This chapter explores the intricate relationship between automation and human involvement in critical tasks. It discusses the vulnerabilities of machine learning models, the importance of robust AI practices, and the necessity for bias testing to ensure fair outcomes. Additionally, it emphasizes the future of AI regulations and the adoption of protective measures to safeguard against data-related risks.

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