2019 will be the year that companies
hire a “data ethicist,” says Gil Elbaz, CEO of Factual, a location data
provider. “As more and more decisions are made using AI, the teams amassed to
build, test, and teach that software are growing as well,” he says. “The
smarter these systems become, the more important it is that they’re designed
with the needs of, and respect for, humanity in mind. It’s difficult, if not
impossible, to program a machine to understand a human ethic.” Companies will
solve this by hiring a data ethicist.
The
ability for a business to operate based on some amount of intelligence is not
new. Even before business owners used manual techniques such as writing
customer orders in a book or using calculators to help forecast how many pounds
of potatoes might be needed to stock up for next week's sales, there were forms
of "insight searching." Enterprises are always looking for
operational efficiencies, and today they are gathering more intelligence
exponentially.
A significant part of business intelligence is
understanding customers. The more data a company has about its current or
prospective customers' wants, likes, dislikes, behaviors, activities, and
lifestyle, the more intelligence that business can generate. “The
technology is ultimately responsible for making a decision, but the steps it
took to get there will be informed by data scientists programming with human
ethics in mind,” Elbaz says. In principle, more
data suggests the possibility of more intelligence.
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