The visionaries are leveraging the data that sits in the ecosystems around them—and are applying AI on top of the data to turn it into predictive insights.
Despite the strong and inherently negative narrative around the impact on jobs, the bulk of the impact from the automation of work through AI will result in a 'displacement' of work not a 'replacement' of work.
AI bias may come from incomplete datasets or incorrect values. Bias may also emerge through interactions overtime, skewing the machine’s learning. Moreover, a sudden business change, such as a new law or business rule, or ineffective training algorithms can also cause bias.