This project explores the responsible usage of AI, in particular, learning to identify and mitigate bias and algorithmic (un)fairness. It looks to prevent the potential reinforcement and amplification of harmful existing human biases with applications to credit access and the financial industry.

This project explores the ethical and political implications of digitalisation and datafication in higher education. In particular, this research investigates the changing experiences and subjectivities of students in contemporary UK universities amid the growing importance of digital technologies, data and platforms.

Bhargavi’s research aims to understand the role of regulatory, organizational, and professional modes of governance in bridging potential accountability ‘gaps’ generated by emerging technologies like AI.

This research investigates models of collective data governance in agricultural ecosystems, evaluating them from a lens of power and inclusion, and their broader implications for responses to the climate crisis.

This project aims to synthesise philosophical bioethics and public deliberative processes, to arrive at recommendations for the ethical use of AI in healthcare resource allocation.