Student stories - Masanobu
Introduction
Masanobu
MSc Digital Sociology (2023 - 2024)
Content
How have you enjoyed your programme?
During my time in Edinburgh, I felt confident that choosing this university was the right decision. I gained specialised knowledge closely aligned with my research interests and developed essential practical skills that will be invaluable in my career.
The Digital Sociology programme offered a diverse range of courses, with a strong focus on the intersections of AI and society. Courses such as “Controversies in the Data Society” and “Issues and Concepts in Digital Society” provided me with critical insights into how data and AI shape social dynamics. The programme’s flexibility further enriched my learning experience, allowing me to take courses from other departments, such as the Edinburgh Futures Institute’s classes such as “Datafication, Accountability, and Democracy” and “Translational Data and AI Ethics”. These opportunities deepened my understanding of AI ethics and its governance, which is particularly impressive given the relatively emerging nature of these topics.
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Additionally, one of the highlights of the programme was its emphasis on practical skills training in Python and R, which I was eager to apply to social science research. Courses like *Computational Sociology* and *Core Quantitative Analysis 1 & 2* were instrumental in developing my technical proficiency. Additionally, the Centre for Data, Culture, and Society provided further opportunities to enhance these skills, broadening my understanding of how to integrate these technologies into my research.
In sum, the unique combination of theoretical exploration in AI and society, alongside hands-on training in computational methods, has been both enriching and rewarding. It has expanded my expertise and prepared me for future challenges in this evolving field.
Find out more about MSc Digital Sociology
What are your highlights from your time at SPS?
Writing my thesis has been the highlight of my academic journey, building on everything I’ve learned throughout my coursework. After studying theories about AI's influence on society and acquiring valuable computational research skills, I was eager to bring these elements together in my thesis. I actively sought guidance from professors and PhD students working in similar fields, whose insights were instrumental in refining my hypothesis and research methodology.
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My thesis research focuses on biases in large language models (LLMs), linking this contemporary issue to decolonial theory. This project allowed me to integrate the theoretical knowledge and practical skills I gained throughout the programme. While working to deepen my understanding of how these biases are rooted in societal and historical contexts, I also wrote code to analyse biases in LLMs.
The process of developing my research question, conducting the study, and analysing the results was both challenging and immensely rewarding. The support I received from professors and PhD students was invaluable, and I greatly appreciate their encouragement and support throughout my research. I am proud of the work I produced, as it reflects both the knowledge I’ve gained and the skills. Though the journey was demanding, it was also deeply fulfilling.
If you recommend ONE thing to do in the first semester what would it be?
I'd recommend going for a hike with your new friends or classmates. Edinburgh is surrounded by beautiful natural landscapes and exploring them is a great way to start experiencing the city. At the beginning of the programme, many students are new to Edinburgh, making it the perfect opportunity to build friendships with people from all over the world. One of the best aspects of studying abroad is connecting with others, and hiking together is a wonderful way to start those relationships. A great option is Arthur’s Seat, an easy climb that offers fantastic views of Edinburgh and its surroundings.
These outings serve multiple purposes. They provide a relaxed, informal setting to get to know your peers away from the pressures of coursework, offering plenty of time to chat. Plus, it's an excellent way to stay active, especially when most of your time is spent at a desk. Additionally, hiking allows you to discover your new city from a fresh perspective. You might even stumble upon fancy cafés or bakery around your accommodation that you’d otherwise overlook.
So, gather a few classmates, pack some snacks, and head out for a hike. It’s a simple but effective way to build friendships, stay healthy, and get to know Edinburgh better. This is my recommendation for making the most of your early days in the city.
Aims after University
After completing my degree, I am eager to pursue a career focused on researching AI risks and implementing effective AI governance. While AI has the potential to revolutionise various industries, I believe it is vital to understand and address the associated risks.
I believe that my time at Edinburgh has been crucial in preparing me for this path. The courses I’ve taken have provided me with a strong foundation in identifying and analysing AI risks, as well as knowledge about its governance. My goal is to utilise my expertise to contribute to developing responsible and ethical AI. I am enthusiastic about applying this knowledge to real-world contexts, supporting the development of AI while minimising potential harm. Whether through business, research or policy development, I feel equipped to make a meaningful impact in this evolving field.
[Written in 2024]
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