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AI Automation

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Renewable and distributed energy resources continue to grow at a steady pace. As a result, utilities and power asset owners and operators are grappling with the ability to manage all the new clean technologies coming online in addition to re-evaluating traditional asset management practices. Renewable and distributed energy resources such as wind and solar are intermittent power resources which can create erratic shifts in electric supply and demand.

In October 2018, a Reuters article informed the world that Amazon had scrapped an AIā€“based recruitment application that turned out to be biased against women. Most headlines about this story highlighted the company’s failure in developing an actionable and fair solution for one of the most important processes of the HR team.

However, what this and similar examples of today’s AI “failures” neglect to acknowledge is the complexity of end-to-end process automation based on AI technology. This complexity stems not only from current technical limitations but also from the immaturity of corporate policies, government regulations, and legal systems to deal with machines that automatically analyze, decide, and act.