Algorithm Discriminates Against Working Class
Recent tweets by @futureformerJD bring attention towards how algorithms may be discriminating against members of the working class due lack access technology leading many people unable gain economic opportunity through algorithmic decision-making processes such as loan approvals or job applications
Dec. 22, 2022 9:55PM
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A close up image showing a computer processor chip with an illustration overlayed onto it depicting two hands shaking each other symbolizing equality between all members of society regardless of socio-economic status
In a recent tweet, @futureformerJD brought attention to the plight of the working class in today’s society. The tweet stated that “That's the algorithm against the working class. Anybody who actually works has to be glitched out to maintain order.” This statement brings into question how algorithms are being used to discriminate against those who work hard for their money and have less access to technology than others. The term “algorithm” refers to a set of instructions or rules that are used by computers and other digital devices in order to process data and solve problems. Algorithms can be used for a variety of purposes, from analyzing data sets and making predictions about future trends, to helping machines learn new tasks or make decisions based on past experiences. Unfortunately, algorithms can also be used as tools of discrimination when they are designed with certain biases built-in or when they are not tested thoroughly enough before being implemented. For example, algorithms may favor certain groups over others when it comes to loan approvals or job applications due to race, gender, age, or other factors that may lead them astray from their intended purpose. This is especially true for members of the working class who often lack access to technology due to financial constraints and therefore cannot benefit from algorithmic decision-making processes like those with more resources can. This means that even if an algorithm is designed without any bias towards any particular group of people, it still has the potential to discriminate against those who do not have access to its benefits due its design flaws or lack of testing prior implementation. Furthermore, this type of discrimination can have serious implications for individuals in terms of economic opportunity as well as social mobility since algorithmic decision-making processes can determine whether someone is able gain access credit or employment opportunities which could otherwise provide them with much needed financial stability and upward mobility within society. In light of this issue it is important for governments and businesses alike ensure that algorithms are tested thoroughly before being implemented so as not disadvantage those who already face economic hardship due systemic inequality within our societies today. It is also important for citizens everywhere take action by demanding transparency around how these algorithms work so we can better understand how they impact our lives in both positive and negative ways going forward into the future.