Rights statement: 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 http://dx.doi.org/10.4337/9781802204728.00014 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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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
}
TY - CHAP
T1 - Responsible AI for labour market equality (BIAS)
AU - Konnikov, Alla
AU - Rets, Irina
AU - Hughes, Karen D.
AU - Alshehabi Al-Ani, Jabir
AU - Denier, Nicole
AU - Ding, Lei
AU - Hu, Shenggang
AU - Hu, Yang
AU - Jiang, Bei
AU - Kong, Linglong
AU - Tarafdar, Monideepa
AU - Yu, Dengdeng
N1 - 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 http://dx.doi.org/10.4337/9781802204728.00014 The material cannot be used for any other purpose without further permission of the publisher, and is for private use only.
PY - 2022/8/5
Y1 - 2022/8/5
N2 - 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.
AB - 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.
U2 - 10.4337/9781802204728.00014
DO - 10.4337/9781802204728.00014
M3 - Chapter (peer-reviewed)
SN - 9781802204711
SP - 75
EP - 87
BT - How to Manage International Multidisciplinary Research Projects
A2 - Hantrais, Linda
PB - Edward Elgar
CY - Cheltenham
ER -