EOW Reading List: Establishing Ethics in the Algorithm Era Xconomy

The researchers add, "[I]t is possible that in the future algorithms will write many if not most algorithms." That future looks pretty close. MIT Technology Review rounds up several recent milestones in machine learning software that is making machine learning software. There are lots of implications here, but one obvious one is that some of the hottest tech job categories of 2017 may be at just as much risk of being automated away as truck drivers. "If self-starting AI techniques become practical, they could increase the pace at which machine-learning software is implemented across the economy," writes Tom Simonite, the magazine's San Francisco Bureau Chief. "Companies must currently pay a premium for machine-learning experts, who are in short supply."