AI: Interpreting regulation and implementing good practice
Businesses have been using artificial intelligence for years, and while machine learning (ML) models have often been taken from open-source repositories and built into business-specific systems, model provenance and assurance have not always necessarily been documented nor built into company policy. Standards and guidance being developed are rightly aiming to be risk-focused and flexible. Still, implementing these in the businesses that create and consume AI-enabled products and services will make a difference. However, there are … More
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