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Responsible AI for labour market equality (BIAS)

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  • The BIAS case study describes the aims and objectives of the ‘BIAS: Responsible AI for labour market equality’ project, the research process, and the lessons learned at the mid-way point of the project. It draws on two main sources of information: interviews conducted internally with six founding members of the project in August 2021, and a survey of the full team that was conducted in September 2021 to gather information on the backgrounds, perspectives, and experiences of all team members who were currently active in the project. BIAS is an international interdisciplinary project that seeks to understand the role of artificial intelligence (AI) in reproducing gender and ethnic biases in labour market processes, such as job postings and hiring, that are increasingly digitalised. The project was motivated by the ‘digital turn’ in contemporary labour markets and growing concerns over the role of AI in reproducing and exacerbating market inequalities. The BIAS project speaks directly to several themes and national priority agendas in Canada and the UK, including the rise of AI and gender and racial disparities in hiring, pay gaps and innovative practices, since both countries embrace digital transformations as part of their economic and industrial strategies. The BIAS project was supported by the Canada-UK Artificial Intelligence Initiative which was funded by the Social Sciences and Humanities Research Council (SSHRC) in Canada and Economic and Social Research Council (ESRC) in the U.K.

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    Attribution-NonCommercial 4.0 International
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    • Konnikov, A., Rets, I., Hughes, K. D., Al-Ani, J. A., Denier, N., Ding, L., Hu, S., Hu, Y., Jiang, B., Kong, L., Tarafdar, M., & Yu, D. (2022). Responsible AI for labour market equality (BIAS). In L. Hantrais (Ed.) How to Manage International Multidisciplinary Research Projects (pp. 75-87). Edward Elgar Publishing.