Today’s data-driven business runs on the almighty algorithm. But if you’re not careful, those geeky formulas can stir up legal and ethical trouble.
We’re used to algorithms recommending books, movies, music and websites. Algorithms also trade stocks and predict crime, identify diabetics and monitor sleep apnea, find dates (and babysitters), calculate routes and assess your driving, and even build other algorithms. These math equations, which can reach thousands of pages of code and routinely crunch hundreds of variables, may someday run our lives.
Author: Kim S. Nash