Overview
A master’s dissertation exploring how AI engineers in the UK navigate ethics through dimensions of time, space, and data.
Methods
Ethnographic research including interviews and participant observation in an AI lab setting.
Key Insights
- Time: Balancing embedding ethics into AI and addressing existential risks.
- Space: Environmental impacts of LLMs and resource disparities, especially in the Global South.
- Data: Addressing bias to ensure fairness rooted in social justice values.
Impact
The research offers critical insights into responsible AI development and contributes to debates on ethical, sustainable technology.