A friend of mine once told me that coding is like doing magic, and frankly, I am inclined to agree. With a keyboard, a development environment, and a little bit of language skill, you can build an entire world. Despite being heavily rooted in logic, math, and science, there is a certain mystery to it, a sense of illusion and wizardry. The sense of pride and power that comes from successfully finishing an app, program, or website is like no other. I recently watched the film Ex Machina (Alex Garland, 2014) for the first time, and I was struck by one of the lines. In thinking about the success of his creation and what that means for the world, he says, “I’m not a man, I’m God.” And although I wouldn’t say that is exactly how I feel when I turn in a coding assignment, I understand the sentiment. This thesis is going to be a bit different than the one I thought I was going to write. When I started this, I thought it would be about an amazing coding project I had completed. I would write about all the beautiful code and the nitty gritty of the technical aspects. But, the project that I intended to create is not the project I ended up with, and I couldn’t be happier. I finished with something a lot more meaningful, a lot more interdisciplinary, and a lot more me. In this essay and the accompanying coding project, I aim to take you on the journey of building my own piece of digital culture, an app titled “Exposed.” I begin by discussing how the motivation to create Exposed came from the desire to stop using an app made by an internet celebrity and how the values of Gen Z and their relationship with technology influenced and guided the creation of the app. Then I examine the relationship between code and the coder, and how external factors such as being a woman in technology impacts project development. Then I explain the results of the coding process and outline how Exposed turned out. Finally, I consider the meaning of digital culture and how it functions in the creation of Exposed. Along the way this project became extremely personal. I found that the deeper I dove into making the code work, the more I learned about myself and my relationship to technology. If I promise to be honest with you, will you promise to listen to what I have to say?

This thesis seeks to investigate the use of Artificial Intelligence when reviewing STEM job applications and the human biases that are present in AI system training datasets. Further, it proposes to gender neutralize training dataset terms to evaluate job applications based on merit and qualifications, promoting the inclusivity of women in STEM jobs and seeking to eliminate job application system bias from a Utilitarian perspective.