AI holds the greatest promise for eliminating bias in hiring for two primary reasons. It can eliminate unconscious human bias, and it can assess the entire pipeline of candidates rather than forcing time-constrained humans to implement biased processes to shrink the pipeline from the start. Like any new technology, artificial intelligence is capable of immensely good or bad outcomes. The public seems increasingly focused on the bad, especially when it comes to the potential for bias in AI. This concern is both well-founded and well-documented. It is the simulation of human processes by machines.

Like any new technology, artificial intelligence is capable of immensely good or bad outcomes. The public seems increasingly focused on the bad, especially when it comes to the potential for bias in AI. This concern is both well-founded and well-documented. It is the simulation of human processes by machines. This fear of biased AI ignores a critical fact: The deepest-rooted source of bias in AI is the human behavior it is simulating. It is the biased data set used to train the algorithm.

Grand Theft Auto, that most lavish and notorious of all modern videogames, offers countless ways for players to behave. Much of this conduct, if acted out in our reality, would be considered somewhere between impolite and morally reprehensible. Want to pull a driver from her car, take the wheel, and motor along a sidewalk? Eager to steal a bicycle from a 10-year-old boy? Want to stave off boredom by standing on a clifftop to take pot shots at the screaming gulls?

Grand Theft Auto, that most lavish and notorious of all modern videogames, offers countless ways for players to behave. Much of this conduct, if acted out in our reality, would be considered somewhere between impolite and morally reprehensible. Want to pull a driver from her car, take the wheel, and motor along a sidewalk? Eager to steal a bicycle from a 10-year-old boy? Want to stave off boredom by standing on a clifftop to take pot shots at the screaming gulls?