I wrote for TechCrunch about the way automation and machine learning algorithms may start putting writers out of jobs:
Discovering news stories is actually the business that Narrative Science wants to get into, according to Wired, and CTO Kristian Hammond believes finding more stories will actually create more jobs for journalists. I’m not so sure. It will depend on a few things, like how much more efficient writers can be made through technology and how much risk publishers will take on “unproven” story ideas vs. safe computer generated ideas. The idea behind Current was that it could help publishers find lucrative stories to run to subsidize more substantial reporting. Of course publications will continue to run original, differentiating human written reporting. But the amount resources dedicated to that sort of content may change, depending on the economics of automation.
And the possibilities get weirder. Look at drone journalism. Today drones, if they are used at all, are just used to extend journalists capabilities, not to make us more efficient or replace us. But how could drones change, say, event or travel coverage in coming years? Will one reporter with a suitcase full of drones and a server full of AI algorithms do the work of three?
Previously: DARPA Training Computers to Write Dossiers