Stakeholders will be both individuals and organisations acting as
Key players, namely AI developers, public and private investors, and organisations using AI systems to analyse data.
Context settlers, namely policy makers, standardisation organisations, and professional networks and platforms for businesses and employees.
Advocates, namely citizen groups, advocacy organisations, trade unions, scholars, think tanks, educators, and individual workers.
Be part of a major European effort to mitigate diversity biases in AI in recruitment and HR practices.
Contribute to developing thorough understanding of AI in recruitment and HR practices and existing concerns about biases from multiple perspectives by participating in expert interviews.
Help understand how workers react to and make sense of AI in recruitment and HR practices, as well as existing concerns about biases by being part of an online survey.
Provide feedback during the co-creation workshops, supporting BIAS’ AI experts in the development of pioneer, innovative technology to detect and mitigate diversity biases in AI in recruitment.
Help define the BIAS exploitation plan.
Participate in capacity building activities geared toward forging a community around diversity and inclusion in AI for the labour market.
Have a say in devising strategies to raise awareness on the diversity biases of AI in the labour market.
Be involved in the ethnographic study, by providing information about current experiences and future scenarios of the BIAS model and AI in employment settings to PhDs and researchers.
Access to BIAS resources and know-how, such as training and relevant scientific findings.
Receive information about project activities such as events, outcomes, open calls, and presentations.
You will offer your views and expertise on the identification and mitigation of diversity biases in the labour market and contribute to mitigate the adverse consequences of these biases on society. Some activities we currently have planned are:
Online survey designed to understand how workers react to and make sense of AI in recruitment and HR practices, as well as existing concerns about biases
Co-creation workshops to support BIAS’s AI experts in the development of an innovative technology to detected and mitigate diversity biases in AI in recruitment, and for the definition of the BIAS exploitation plan
A capacity building programme on biases in AI with an intersectional perspective including online raising awareness activities
Qualitative interviews in the frame of an ethnographic study that will be conducted by some of the Consortium partners
Professional networking opportunities organized specifically for members of the national labs
Each national lab will take place in 7 out of 9 partner's countries
Each national lab will involve stakeholders from