I think you'd do well to read Cathy O'Neils Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. I saw her read at the Miami Book Fair several months ago, and immediately bought a copy. I even got her to sign it which is kinda cool ;)
Cathy's big idea is that we're absolutely surrounded by algorithms that inform big decision making. There are lots of good algorithms that help us. Sadly, there are lots of insidiously, dangerous, bad algorithms that do serious damage, and they are lurking all about disguised as good algorithms.
One aspect of a good algorithm is some kind of feedback and correctional system. Early on Cathy points to some advertising algorithms as an example of a healthy algorithm. For example, if an algorithm is in place to recommend a product you should by, and it does a terrible job at that, it will be tweaked until fixed, thereby correcting what is has set out to do. Moneyball-style algorithms are the same. The data is open. Baseball team manager use algorithms to help recruit for their team and manage how they play. If it isn't working, it will be tweaked until it does.
... read the whole story at css-tricks.com.