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.

Big data and artificial intelligence will have the greatest impact in the health-tech industry in the year ahead, according to a survey released yesterday. The survey, performed by Silicon Valley Bank, polled 122 founders, execs and investors in health care technology companies about the biggest challenges, most promising technology and biggest growth sectors in the industry for the coming year. The most promising technology for the sector was utilization of big data, with 46% of of responders ranking it number 1, closely followed by artificial intelligence, with 35%. Consumer, patient and client adoption was the biggest challenge reported by polled individual for the industry, with 37% placing it at the top. Thirty four percent reported that regulation was the largest challenge for the sector.