WORK
Alan Turing Institute Workforce Studies
Wajcman's 2023 empirical reports at the UK's national institute for AI — documenting gender disparities in AI jobs, qualifications, seniority, funding, and self-confidence — that provided the statistical foundation for her subsequent public intervention on AI equity.
The Alan Turing Institute workforce studies were Wajcman's most influential recent empirical contribution, conducted as part of her role as Visiting Fellow at the UK's national institute for data science and artificial intelligence. The research program produced a series of reports between 2020 and 2023 that documented persistent gender disparities across every dimension of the emerging AI workforce: jobs held, educational qualifications, seniority achieved, industry concentration, venture capital funding received, and even reported self-confidence in technical capabilities. The studies provided the statistical foundation for Wajcman's subsequent public arguments about male-lens investing, mutual shaping in AI design, and the gendered distribution of the technology's costs and benefits.
In The You On AI Field Guide
The research addressed a question that the AI industry had largely avoided: as the AI workforce was forming, what demographic patterns were being established, and what consequences would those patterns have for the technology being built? Previous