Algorithmic Decision Making in Recruitment and HR

Expert workshop on algorithmic decision-making systems in recruitment

<p>Algorithmic decision-making systems are being used in hiring more and more frequently for different reasons, such as to increase efficiency or to mitigate bias in the recruitment process. These decisions are present throughout the hiring funnel from the step of wording the job description and advert through ranking candidates for interviewing to assess video-interviews for particular personality traits of the applicants. We have conducted interviews with stakeholders from the field of recruitment, such as large-scale employers, recruitment firms and expert advocacy groups in order to gain insight for the identification of the main challenges and problems the use of algorithmic decision-making systems poses in hiring. This was followed by a short project where we utilised the help of graduate student participants of the FATE (Fairness, Accountability, Transparency and Ethics) CyCAT Winter School in order to design a draft methodology to monitor bias in a given recruitment platform. In the workshop we will share our findings and will then assess these results together with the group of experts leading to the design of an assessment methodology and requirements.</p><p></p>

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Algorithmic Decision Making in Recruitment and HR

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