Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in

This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in medicine, such as accuracy and efficiency in diagnosing rare genetic disorders, while also examining the ethical concerns including bias, misdiagnosis, the issues it may cause within patient-clinician relationships, misuses outside of medicine, and privacy. This paper draws on the opinions of medical providers and other professionals outside of medicine, which finds that while many are excited about the potential of AI to improve medicine, concerns remain about the ethical implications of these technologies. We discuss current legislation controlling the use of AI in healthcare and its ambiguity. Overall, this thesis highlights the need for further research and public discourse to address the ethical implications of using facial recognition and AI technologies in medicine, while also providing recommendations for its future use in medicine.

ContributorsVargas Jordan, Anna (Author) / Kohlenberg, Maiya (Co-author) / Martin, Thomas (Thesis director) / Sellner, Erin (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor)
Created2023-05
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Description
Artificial intelligence (AI) and machine learning (ML) is rapidly evolving with enormous impact on a wide range of individual and societal matters including in health care, now and in the future. The goal of this research project is to assess the current knowledge level of AI and ML in health

Artificial intelligence (AI) and machine learning (ML) is rapidly evolving with enormous impact on a wide range of individual and societal matters including in health care, now and in the future. The goal of this research project is to assess the current knowledge level of AI and ML in health care among healthcare professionals and the lay public. Results from this research will identify knowledge gaps and educational opportunities to improve future use and applications of AI and ML in health care.
ContributorsShen, Maria (Author) / Martin, Thomas (Thesis director) / Wheatley-Guy, Courtney (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor)
Created2022-05
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Description

An exploration into the history of the 1918 Influenza Pandemic and the societal impacts associated with it, as well as an analysis of the developing SARS-CoV-2 pandemic today. Based upon these analyses, similarities were drawn between the two pandemics which suggested a lack of innovation in preventative measures over the

An exploration into the history of the 1918 Influenza Pandemic and the societal impacts associated with it, as well as an analysis of the developing SARS-CoV-2 pandemic today. Based upon these analyses, similarities were drawn between the two pandemics which suggested a lack of innovation in preventative measures over the last century. Given this conclusion a series of proposals were made that should be further explored to give not only the United States, but the world at large, a better chance in the face of the next emerging disease.

ContributorsWeinman, Maya (Author) / Martin, Thomas (Thesis director) / Madhavpeddi, Adrienne (Committee member) / College of Health Solutions (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05