The AI: Narratives and Justice Programme investigates the cultural contexts shaping how AI is perceived and developed, and the consequences for diversity, cognitive justice and social justice. The Programme brings together expertise from the humanities, the social sciences, and computer science in order to produce scholarly work that will inform future research – in academia, industry, business, and government – and encourage effective interventions to ensure AI is developed in ethical ways that are beneficial and just for all.
Applying intersectional and anthropological perspectives to designing AI for just and sustainable futures.
Understanding the socio-political implications of this technological revolution requires examining not only what we imagine drones can do, but how drones themselves function as an imaginary of society.
From posthumous avatars to deadbots, and griefbots, AI is involved in mediating death—one of the most intimate and inevitable experiences in our lives. Understanding these changes, shaping them, and responding wisely requires new interdisciplinary and intercultural dialogue.
The History of AI project examines the complex historical factors — social, political, technological and otherwise — that have shaped the development of intelligent systems during both the twentieth century and prior.
We examine the impact of AI on journalism, PR, and communications practices and strategies. We also explore the role of communications professionals in fostering critical AI literacy.
The ‘Gender and AI’ research stream develops feminist and queer approaches to AI that are informed by critical race theory, postcolonial/decolonial theory, Asian American/Asian diaspora studies, crip theory, and areas of justice-oriented knowledge and work.
How we talk about new technologies and their risks and benefits can significantly influence their development, regulation, and place in public opinion. Balancing AI’s potential and its pitfalls therefore requires navigating this web of associations.
AI is set to have an unprecedented global impact — and public perceptions will shape much of it, affecting how the technology is developed, adopted, and regulated. But different cultures see AI through very different lenses.
If the developer demographic does not diversify, and if bias is not sufficiently addressed in datasets, AI stands to exacerbate inequality and social injustice on a global scale.
Research Fellow (LCFI/University of Bonn) | Student Advisor
Project Leader / Chief Science Policy Officer, The Royal Society
Associate Director | Senior Research Fellow
Senior Research Fellow | Student Advisor
Student Fellow
Associate Teaching Professor (MSt) | Senior Research Fellow
Visitor and Associate Fellow
Research Fellow
Senior Research Fellow | Student Advisor
Associate Director (Research Partnerships) | Senior Research Fellow
Research Assistant
Research Assistant
Director
Research Fellow | Student Advisor
Associate Fellow; Visiting Fellow, 2018/2019
