Not much detail here, but governance in this space is important, regarding the data and results from the analyses. And how it relates to ongoing maintenance of solutions. In particular we found maintenance one of the biggest problems in delivering AI style approaches. Further the inherent risk involved for any solution has to be modeled and tracked. Start with an understood process model and build from there.
Opinion: How organizations can develop an AI governance strategy By Vikram Mahidhar
Today, many companies are entrusting their top business-critical operations and decisions to artificial intelligence. Rather than traditional, rule-based programming, users now have the ability to provide machine data, define outcomes, and let it create its own algorithms and provide recommendations to the business. .... "
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