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Responsible AI for labour market equality (BIAS)

  • Alla Konnikov*
  • , Irina Rets
  • , Karen D. Hughes
  • , Jabir Alshehabi Al-Ani
  • , Nicole Denier
  • , Lei Ding
  • , Shenggang Hu
  • , Yang Hu
  • , Bei Jiang
  • , Linglong Kong
  • , Monideepa Tarafdar
  • , Dengdeng Yu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.
Original languageEnglish
Title of host publicationHow to Manage International Multidisciplinary Research Projects
EditorsLinda Hantrais
PublisherEdward Elgar Publishing Ltd.
Chapter5
Pages75-87
Number of pages13
ISBN (Electronic)9781802204728
ISBN (Print)9781802204711, 9781035310975
DOIs
Publication statusPublished - 5 Aug 2022

Keywords

  • artificial intelligence (AI)
  • communication strategies
  • interdisciplinary research
  • international partners
  • labour market equality
  • UK-Canadian collaboration

ASJC Scopus subject areas

  • General Business,Management and Accounting
  • General Social Sciences

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