I wrote an essay on algorithmic aesthetics and the future of creativity for Aeon.
The recent scandal with Facebook’s Trending Topics news module goes deeper than the revelation that it was humans all along hiding behind the algorithm. It should come as no surprise that Facebook has bias — every organization does. It’s what you do about the bias, how you attempt to disclose it and manage it, that makes a difference. News organizations have been grappling with that question for a long time, creating formal and informal codes of conduct, oversight systems and transparency rules.
Facebook Trending story: The Wizard of Oz algorithm
CNN, May 14, 2016
In reality algorithms have to run on actual servers, using code that sometimes breaks, crunching data that’s frequently unreliable. There is an implementation gap between what we imagine algorithms do in a perfect computational universe and all the compromises, assumptions, and workarounds that need to happen before the code actually works at scale. Computation has done all sorts of incredible things, sometimes appearing both easy and infallible. But it takes hundreds or thousands of servers working in tandem to do something as straightforward as answer a search engine query, and that is where the problems of implementation come in.
Slate, February 26, 2016
We spend an awful lot of time now thinking about what algorithms know about us: the ads we see online, the deep archive of our search history, the automated photo-tagging of our families. We don’t spend as much time asking what algorithms want. In some ways, it’s a ridiculous question, at least for now: Humans create computational systems to complete certain tasks or solve particular problems, so any kind of intention or agency would have to be built in, right?
Slate, December 9, 2015
Our digital breadcrumbs now tell stories about us that are deeply secret, moving, surprising—and often things we don’t even know about ourselves. These days when a computer crunches the numbers and tells you “this is who you are,” it’s hard to contradict because there’s more data about you in the machine than there is in your head. Algorithms are most effective at curating the information that’s hardest for us to hold in our heads: how long we talk to mom or what day of the week we splurge on an extra cookie.
What if Computers Know You Better Than You Know Yourself?, Slate March 3 2014