I have extensive experience with conducting quantitative analysis of behavioural and survey data.
During my Master’s dissertation, which investigated the perceived impacts of artificial intelligence (AI) on gender and ethnicity pay gaps, I followed a mixed-methods approach. This involved interviewing ten experts working within AI to obtain qualitative data, designing a survey completed by the general public, analysing, interpreting and presenting the findings using SPSS and Tableau, and developing recommendations to reduce the unfair and disproportionate outcomes AI may have.
After completing the research project, I disseminated my findings more broadly through a range of mediums, including engaging visuals in a series of social media posts on Linkedin.
I presented this to multiple audiences, including the Head of Talent Acquisition at Barclays to make her and the team aware of the potential issues with adopting AI-based hiring solutions, and delivered workshops and presentations to The Runnymede Trust (anti-racism thinktank), We Are The City (gender network), and Warwick Business School.
Below is a summary of my research and findings.