Artificial intelligence (AI) shifts the computing paradigm from rule-based programming to an outcome-based approach. It allows processes to operate at scale, reducing the number of human processing errors, and inventing new ways of solving problems. AlphaGo inspired Go players to try new strategies after experts had been using the same opening moves for 3,000 years. As adoption increases, AI will enable organizations to unlock the “last mile” that traditional automation could not address. But as more enterprises entrust AI to make decisions on their behalf, governance becomes super critical.
In a recent Genpact survey of C-suite and other senior executives, 63 percent say that it is important or critical to be able to trace the reasoning path of an AI-enabled machine, and this number jumps to 88 percent of respondents at companies that are leaders in AI. Genpact also works with Fortune 500 companies in regulated markets, and these clients see traceability becoming a key requirement before they will consider putting AI to use.
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Source: IT Strategy