The Importance of Journalism about Machine Learning

Why We Need Journalism about Machine Learning

Talking Machines | September 25, 2015

Talking Machines is in the process of raising funds to defray the cost of producing our first season and to help us start production on our second season. On the show we’ve talked about how we’ll use the money (to pay for studio time, editing, and the cost of travel to get our great interviews). But we haven’t gotten to the heart of the question yet: Do we even need journalism about machine learning?

[RoboHub: ] "In episode 20 we chat with Pedro Domingos of the University of Washington, who has just published a book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Source: http://robohub.org/

We need journalism about machine learning, artificial intelligence, and data science desperately. Not just to calm the public conversation, which always seems to be full of hype on these topics, but to make sure that work in our field is sustainable. And no one is going to make the case for our industry unless we do it ourselves.

<more at http://robohub.org/why-we-need-journalism-about-machine-learning/; related links: http://www.poynter.org/news/mediawire/361585/how-newsrooms-are-using-machine-learning-to-make-journalists-lives-easier/ (How newsrooms are using machine learning to make journalists’ lives easier. August 5, 2015) and http://techjaw.com/2015/02/01/machine-learning-for-journalism-at-the-new-york-times/ (Machine Learning For Journalism at The New York Times. February 1, 2015)>