Preliminary Holistic report on mapping, survey, interviews

This report will consolidate findings from Task 2.1: Mapping current AI use in labor management, gender/diversity needs assessment, Task 2.2: Survey of workers on bias experiences (n ≥ 4000) and Task 2.3: Needs assessment expert interviews (n ≥ 70). These findings will inform the creation and implementation of co-creation activities.Task 2.1: We will map current AI in labor management particularly focusing on gender and diversity issues. We will focus on a two-fold approach in which we will first review different applications found in the market on AI for work management to find out how they consider diversity and inclusion aspects, including from the design, implementation, and execution of the tasks.Task 2.2: We will conduct an online survey geared informed by preliminary results from T2.1 toward understanding how workers react to and make sense of algorithmic profiling when it is made visible to detect and understand their perceptions of existing biases. The methodology will rely on qualitative accounts as well as quantitative data from a European representative sample of at least 4,000 respondents from all 27 EU member states as well as Iceland, Norway, Switzerland, and Turkey.Task 2.3:This task will consult with experts—AI developers and HR executives—regarding current practices concerning AI in recruitment and HR practices and what concerns they have regarding bias. A short, easy to follow interview guide supporting interviews of approximately 30 minutes will be created featuring questions regarding what the experts view to be the most important issues with multiple choice responses allowing for further elaboration through open conversation.I perliminary, but mostly complete report will be prepared by M9 that can inform the co-creation activities. In the event that it takes more time than envisioned to gather 4,000 survey responses, a final report will be delivered in M15.