Relevant Knowledge and Skills | Edin's Data and AI Ethics Master Program
After missing the deadlines for the University of Edinburgh's (Edin) doctorates program in philosophy this winter due to the sudden passing of my grandmother, I took it as a sign to pursue a master's instead. While I was initially discouraged, I wound up feeling incredibly blessed to see that Edin was offering an online MSc in Data and AI Ethics. And that deadlines weren't until July! Given my certifications in humane tech, research experience, and coursework in the Philosophy of Computing and AI, nothing could be more aligned with my interests and career ambitions. Below is a short essay reflecting on my relevant knowledge and skills, assisted (as always) by the lovely AI-powered Grammarly. Posted for my amazing professors at ASU whom I'm seeking referrals from <3
As an aspiring educator with a background in marketing, my journey has equipped me with a unique set of skills that I believe are highly relevant to the field of Data and AI Ethics. Graduating soon with a second bachelor's degree in philosophy, I have honed my skills in argumentation, critical thinking, and academic research. However, it is my experience as a digital marketing manager that has truly broadened my understanding of the aesthetic and ethical considerations within the realm of data privacy, algorithmic functions, and generative AI.
As a marketer, I design websites and manage social media platforms for small businesses. This hands-on experience has allowed me to witness firsthand the power and potential pitfalls of data-driven marketing strategies. I have grappled with the ethical implications of targeting algorithms, data collection practices, and the responsible use of customer data. This has heightened my awareness of the importance of ensuring privacy and transparency in the age of AI, where algorithms shape our online experiences and decisions.
Motivated by these experiences, I actively pursued certifications in humane technologies and stewardship. These certifications have provided me with a deeper understanding of the ethical dimensions of emerging technologies and the responsibilities we bear as custodians of these technologies. This knowledge has not only informed my business practices but has also fueled my interest in this masters program.
Throughout my academic journey, I have focused on technology, aesthetics, virtue, and epistemology. In particular, I have delved into debates on identity, exploring the relationship between art and artists, and how generative AI challenges traditional notions of authorship and creativity. This intersection has captivated my intellectual curiosity, inspiring me to contribute to conversations and scholarship on these topics.
By joining the University of Edinburgh's Master's program in Data and AI Ethics, I aim to deepen my understanding of these complex issues and contribute meaningfully to the field. I intend to engage with fellow students and faculty in thought-provoking discussions and research projects that examine the ethical considerations of data privacy, algorithmic functions, and generative AI.
In summary, my background has provided me with practical insights into the aesthetic and ethical considerations surrounding data privacy, algorithmic functions, and generative AI in the marketing landscape. This experience, coupled with my pursuit in understanding ethical tech, has deepened my understanding of the ethical dimensions of emerging technologies. By joining the University of Edinburgh's Master's program in Data and AI Ethics, I aim to contribute to conversations and scholarship on these topics, drawing from my coursework and academic focus on emerging technologies, identity debates, and ethics.