Every time you use a computer—your laptop, phone, or a mileage calculator in a car—you are using algorithms. According to D’Souza, even the Duckworth-Lewis method, which is used to calculate the target score for the team batting second when rain interrupts a limited overs cricket match, is based on an algorithm. We should understand that an algorithm is nothing but a set of instructions to be followed. The D/L method is essentially an algorithm, applied to a particular game situation (rain that takes away playing time) to suggest how to proceed. When you multiply two and two, then that is also an algorithm because you are following a certain step-by-step procedure. None of it is magic. Facebook and Google search are also based on algorithms, though they are more complex than the regular algorithms. Algorithms are everywhere. Whatever system you develop, first you develop an algorithm to run it. Everyone is trying to develop algorithms that make the comparison process as small as possible so that a person can be identified quickly. Even though algorithms work on what humans define them to be and process large-scale data for certain purposes, not all these purposes might be for good. Algorithm are often elegant and incredibly useful tools used to accomplish tasks. They are mostly invisible aids, augmenting human lives in increasingly incredible ways. However, sometimes the application of algorithm created with good intentions leads to unintended consequences. As Correa points out, algorithms are only as good as the use they are put to. “Computers are supposed to (be used to) aid humans. In the current scenario, algorithms are what humans define them to be; they should to be used to assist humans and not replace them."