Graduation Year


Date of Submission


Document Type

Open Access Senior Thesis

Degree Name

Bachelor of Arts


Computer Science

Second Department


Reader 1

Mark Huber

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This thesis paper explores the ethical considerations surrounding the use of machine learning (ML) solutions in healthcare. The background section discusses the basics of machine learning techniques and algorithms, and the increasing interest in their utilization in the healthcare sector. The paper then reviews and critically analyzes four studies that highlight concerns related to using ML in healthcare, including issues of bias, privacy, accountability, and transparency. Based on the analysis of these studies, the paper presents several recommendations for addressing these concerns. The paper concludes with a discussion on the potential benefits of using machine learning technology in healthcare. Ultimately, the purpose of this thesis paper is to show that while the ethical concerns around machine in healthcare are significant, they should not deter the development and adoption of such solutions in the sector, but rather inform their design and implementation to maximize their potential benefits while minimizing their risks and harm.