ESRC GRAND UNION DOCTORAL TRAINING PARTNERSHIP (DTP) COLLABORATIVE DOCTORAL STUDENTSHIP WITH THE WOMEN’S FORUM FOR THE ECONOMY AND SOCIETY.
Excited to announce a new collaborative doctoral studentship in partnership with the Women’s Forum for the Economy and Society.
This doctoral research will make use of a range of social science methods to study the gender impact of artificial intelligence (AI) systems in business or work contexts.
AI is widely recognised as a transformative technology across sectors, and more organisations need to take steps to implement best practice for its responsible application, in ways that will empower and benefit everyone inclusively. The “gender data gap” (Perez 2019) of less data about women in health and safety drives one of the concerns about the potential of new AI-enabled tools to increase social inequalities. The other is making existing differences in social outcomes such as gendered pay gaps or differences in hiring a part of seemingly accurate systems. Gender bias in AI systems and in the development of AI are well-known problems with no easy solutions. This project will be an opportunity to do doctoral research on how organisations recognise and respond to this problem.
The aims of the project are to empirically assess the factors that support or challenge the creation of more equitable data systems and to conduct a specific qualitative, quantitative or computational study on one of these factors which may include challenges with AI and gender equality in job hiring, pay, workforce opportunities, inclusion in the AI workforce or similar factor.
Specific research questions for this project can draw from the broad areas of needed research identified in the recent report AI and Gender: Four Proposals for Future Research on gender theory and AI practice, law and policy, biased datasets, and diversity in the AI workforce. An example could be research on what companies are doing to align the definition of fairness from the perspective of gender-equality with the technical and legal definitions of fairness in the job hiring process in order to produce evidence-based, context-specific, gender-specific guidelines for datasets which may help to reduce bias and encourage the fairer use of data. It is expected that this doctoral project will be a multi-method social scientific project that will draw strongly on gender theory, science and technology studies and critical data studies.
The project partner, the Women’s Forum for the Economy & Society is a coalition of partners from around the world who advocate for women’s inclusion and access in the economy, and who bring tangible recommendations, innovative solutions and commitments on key social, economic and environmental issues to policymakers at the G7, G20 and other international platforms. Through a specific project on AI & Gender, the Women’s Forum calls on organisations of all sizes, sectors, and from all countries, to apply a gender lens to their AI development and implementation and share best practices.
The PhD studentship will be funded by the ESRC Grand Union DTP for three years (or part-time equivalent) from October 2020. The student will be based in the Oxford Internet Institute at the University of Oxford. They will be supervised by Dr Gina Neff and supported by Sophie Lambin and Ela Sackville at the Women’s Forum.