Zak Lakota-Baldwin
Department, Institution: Science and Technology Studies, UCL
UBEL Pathway: Science, Technology, Prosperity and Innovation
Supervisor: Dr Simon Lock and Dr Michel Wahome
Contact details: zak.lakota-baldwin.22@ucl.ac.uk
About Me
I hold a BA and MSci in History and Philosophy of Science from the University of Cambridge, and an MSc in Science, Technology and Society from UCL. I am interested in addressing the ways in which science and technology often reflect and magnify existing social biases and inequities, and in my PhD research I aim to explore how communities use counter-imaginaries to shape more socially just alternative futures. Outside of academia, I am one of the co-founders and lead organisers of the UK branch of Science for the People, a grassroots radical science organisation and magazine that advocates for democratising science and technology to better serve social and ecological needs.
My Research
Numerous recent studies have explored sociotechnical imaginaries of the future of AI and its role in society, however most of this research has focused on the dominant imaginaries espoused by corporate or state-level actors. In my research I intend to study AI counter-imaginaries and the collectives behind them, both those emerging from civil society (such as artistic and activist organisations) and from groups within the AI research community. I aim to explore the values, practices and tactics at play in constructing and disseminating these imaginaries, and what mechanisms and power structures might prevent the counter-imaginaries from further proliferating.
My focus will be on counter-imaginaries from groups often marginalised within or adversely impacted by AI research, and understanding how they navigate the tensions and contradictions in imagining futures of AI for their communities that are neither wholly utopian nor wholly dystopian. I plan to identify a sample of groups to consider as in-depth case studies, and conduct my research through a combination of discourse analysis of documents produced by these groups and semi-structured qualitative interviews with their members.
Impact of My Research
One of my primary aims is to explore the barriers that prevent alternative AI imaginaries from proliferating and gaining support. In doing so, I hope to assist grassroots community organisations in finding ways to share their AI counter-imaginaries, and help policymakers better incorporate perspectives on AI beyond those from big tech companies, particularly from groups underrepresented in AI including women, people of colour and queer people. This has potential for impact both in social justice terms, considering how future benefits and harms of AI might be unevenly distributed across society; and in creative and democratic terms, so that a more rich and diverse set of potential digital futures can be discussed in policy circles as well as public debates. I also intend for my research to contribute to recent work within STS which critiques the widely-used concept of sociotechnical imaginaries and confronts the limitations of this concept as a means of understanding non-dominant visions and power imbalances.
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