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In this paper, the authors argue that no member of the public is “consciously adopting AI” because it is not a product, but rather a technology embedded into more and more of our everyday lives. On almost every major website, every action we take is run through an AI for fraud detection. Over time, our text-to-speech software gets better because machine learning models make it more tailored to us. Many countries now use facial and fingerprint biometrics with neural networks to identify individuals in public. …


I began reading this paper knowing very little about clustering and algorithmic fairness. So, I decided to write this reflection as a mini research paper of sorts. The content in this short piece comes from sources online including research papers, but also Wikipedia and other websites.

Clustering, which groups together similar objects in a group, is notably used in pattern recognition and exploratory data analysis that summarizes the characteristics that classify the objects. It is an iterative process of knowledge extraction that involves various algorithms, and trial and failure.

There are different kinds of clustering. I summarized these to better…


I have never thought to be concerned with the environmental cost of model training. It was intriguing to see the amount of importance the paper ascribed to this particular area. Given that I rarely think about the direct environmental toll that computers take and that I have never had a conversation with anyone regarding this, I am now aware that this is truly an area of computer science that is not treated with enough regard.

The researchers discuss carbon emissions as they encourage us to find the balance between ensuring we have enough data to train our models, but not…


This paper discusses four different roles that computing research plays in addressing social problems. The first role it mentions is using computing as a diagnostic. Here, computing can help us quantitatively assess social problems and analyze their effects. Some of the example programs given involve using machine learning, algorithms, and complex decision-making using weighted factors. All of this involves heavy code and math.

I am currently taking the class CSE 331: Software Design and Implementation. We are learning about industry-standard code specifications that draw a hard line between programmers and clients. We are taught that these two people should almost…


I first want to mention how I appreciate what “Questioning the AI: Informing Design Practices for Explainable AI User Experiences” actually delivers: a usable question bank. It is practical and, at this very moment could be used for real-world applications. It is unlike some other literature, for instance, the paper by Amershi et al. that was mentioned on page 2, which proposed “18 usability guidelines for AI systems”, but did not “provide actionable guidance on how to actualize these capabilities.” …

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