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  • 5 BIAS case study

    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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Responsible AI for labour market equality (BIAS)

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

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Responsible AI for labour market equality (BIAS). / Konnikov, Alla; Rets, Irina; Hughes, Karen D. et al.
How to Manage International Multidisciplinary Research Projects. ed. / Linda Hantrais. Cheltenham: Edward Elgar, 2022. p. 75-87.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

Konnikov, A, Rets, I, Hughes, KD, Alshehabi Al-Ani, J, 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. Edward Elgar, Cheltenham, pp. 75-87. https://doi.org/10.4337/9781802204728.00014

APA

Konnikov, A., Rets, I., Hughes, K. D., Alshehabi Al-Ani, J., 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. https://doi.org/10.4337/9781802204728.00014

Vancouver

Konnikov A, Rets I, Hughes KD, Alshehabi Al-Ani J, Denier N, Ding L et al. Responsible AI for labour market equality (BIAS). In Hantrais L, editor, How to Manage International Multidisciplinary Research Projects. Cheltenham: Edward Elgar. 2022. p. 75-87 doi: 10.4337/9781802204728.00014

Author

Konnikov, Alla ; Rets, Irina ; Hughes, Karen D. et al. / Responsible AI for labour market equality (BIAS). How to Manage International Multidisciplinary Research Projects. editor / Linda Hantrais. Cheltenham : Edward Elgar, 2022. pp. 75-87

Bibtex

@inbook{6b74880c4a744a37ab3c5e591c12642b,
title = "Responsible AI for labour market equality (BIAS)",
abstract = "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.",
author = "Alla Konnikov and Irina Rets and Hughes, {Karen D.} and {Alshehabi Al-Ani}, Jabir and Nicole Denier and Lei Ding and Shenggang Hu and Yang Hu and Bei Jiang and Linglong Kong and Monideepa Tarafdar and Dengdeng Yu",
note = "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.",
year = "2022",
month = aug,
day = "5",
doi = "10.4337/9781802204728.00014",
language = "English",
isbn = "9781802204711",
pages = "75--87",
editor = "Linda Hantrais",
booktitle = "How to Manage International Multidisciplinary Research Projects",
publisher = "Edward Elgar",

}

RIS

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 -