Source: Thomson Reuters
As innovation is measured across history, the embrace and capabilities of artificial intelligence (AI) is nothing short of a quantum shift — one that’s exploded over the last 18 months. Moreover, the foundations for AI’s value proposition, business cases, and even applicability to industry-defined regulatory compliance are advancing weekly, and all underpinned by decades of rule-defined computer science trial-and-error solutions.
Traditionally, regulatory compliance represents a set of rules — a set of knowns that are the result of careful designs, comment periods, and data reporting. It is often considered to be about designing the future using the mold of historical transactions and targeted demographics to ensure controls and risks are within acceptable guidelines. However, will the history, the training data, or even the expert trends identified be enough to mold AI responsibly within and across existing operational capabilities?…=
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