The Problem of Biased Algorithms and How to Prevent Them DataScience.US

However, algorithms can be discriminatory in a second, and more troubling sense. If data scientists are not careful in how they constructed their algorithms, their algorithms can actually be discriminatory in the sense of being biased towards certain races, ages, and sexes. How can an algorithm be biased and discriminatory? Are there any solutions to this conundrum? Very rarely is it the intent of an algorithm's creator to create an algorithm that is biased or discriminatory.