Keeping ethical bias out of artificial intelligence models remains a largely unsolved problem. To prevent bias from developing, a model must be actively monitored from the time it is put into production until the moment it is retired. And, monitoring must be supported with proper governance and operations processes.
This paper presents an overview of how organizations can manage their AI models to ensure they are ethical, fair and unbiased throughout their entire life cycle.
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