Recent examples, such as the Microsoft Kinect facial recognition algorithm, which does not work properly with darker skin players, and the software used in 2016 by Amazon to determine the parts of the United States to which offer free same-day delivery that made decisions that prevented minority neighborhoods from participating in the program, show the unfairness in the software. This unfairness can be generated in different phases of the software engineering, including requirements elicitation. Give examples on how bias can affect the fairness of the requirements.