Responsible AI for labour market equality (BIAS)

Konnikov, Alla and Rets, Irina and Hughes, Karen D. and Alshehabi Al-Ani, Jabir and Denier, Nicole and Ding, Lei and Hu, Shenggang and Hu, Yang and Jiang, Bei and Kong, Linglong and Tarafdar, Monideepa and Yu, Dengdeng (2022) Responsible AI for labour market equality (BIAS). In: How to Manage International Multidisciplinary Research Projects. Edward Elgar, Cheltenham, pp. 75-87. ISBN 9781802204711

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This case study focusses on the BIAS project, an interdisciplinary and international collaboration between researchers in Canada and the UK, investigating Responsible AI for labour market equality. The project was funded by the UK Economic and Social Research Council (ESRC) and the Social Sciences and Humanities Research Council of Canada (SSHRC) under the Canada-UK Artificial Intelligence Initiative. Drawing on interviews with the founding team, and a survey with all team members, this case study examines how the core project team managed the research process. It illustrates the challenges of collaborating and decision-making in a highly diverse team, and the value of adopting an egalitarian approach to team management, based on flexible mindsets, and an openness towards disciplinary differences. The case study analyses the strategies developed to ensure effective communication across disciplinary and cultural boundaries. The discussion highlights the lessons learnt, and the practical solutions and rewards of intra- and inter-disciplinary work.

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Contribution in Book/Report/Proceedings
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This is a draft chapter/article. The final version is available in How to Manage International Multidisciplinary Research Projects edited by Linda Hantrais, published in 2022, Edward Elgar Publishing Ltd The material cannot be used for any other purpose without further permission of the publisher, and is for private use only.
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24 Jan 2022 14:40
Last Modified:
19 May 2024 23:06