AI used in the labour market needs to be trustworthy and socially responsible.

Welcome to BIAS

A four-year project that will empower the AI and Human Resources Management (HRM) community by addressing algorithmic biases and mitigating them.

Artificial Intelligence is increasingly deployed in the labour market to recruit, train, and engage employees or monitor for infractions. Therefore, the BIAS project will investigate its use in this context. The project will also study how human and societal biases are potentially reproduced in Al-based systems and develop tools to identify and mitigate these biases.

WHAT ARE

THE PROJECT GOALS?

Develop the Debiaser, a proof-of-concept for innovative technology based on Natural Language Processing (NLP) and Case Based Reasoning for an HR recruitment use case. The system will contain two modules: one for bias detection and another for bias mitigation

Gain a richly detailed understanding of bias in recruitment and HRM, which advances the field of worker studies and improves the capacity building activities in the area

Engage in robust stakeholder engagement and co-creation for the development of the Debiaser

Inform future trajectories of NLP and AI research with increased involvement of marginalised people/communities in the design, development, training, and deployment of AI

Empower the AI and HRM community to develop better technology and institute better practices, as well as raise awareness about the importance of addressing algorithmic bias

Make hiring practices less biased and more equal and fair

How?

Through an interdisciplinary research strategy, consisting of

Needs analysis, stakeholder involvement, and co-creation (through National Labs, surveys, interviews and workshops)

AI/NLP research and development

Ethnographic fieldwork

Combined with an impact strategy

Awareness raising and capacity building

BIAS modules available to the AI/NLP community

Pathway to a marketable product

Networking and clustering

FOR WHOM?

01 Key Players

Specific Platforms using AI systems to analyze data

New technologies developers

Public and private investors

02 Context setters

Policy makers at international level

Standardization organizations

Professional networks and platforms for both businesses and employees

03 Advocates

Individual workers

Educators (secondary and higher education)

Citizen groups and advocacy organizations

Academics, researchers, and think tanks

Who are the
project members?

The Associated Partner Bern University of Applied Sciences has received funding from the Swiss State Secretariat for Education, Research and lnnovation (SERI)

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the Swiss State Secretariat for Education, Research and lnnovation can be held responsible for them.

This website does not collect any kind of data

AI used in the labour market needs to be trustworthy and socially responsible.

Welcome to BIAS

WHAT ARE

THE PROJECT GOALS?

How?

Through an interdisciplinary research strategy, consisting of

Combined with an impact strategy

FOR WHOM?

01

Key Players

02

Context setters

03

Advocates

Who are theproject members?

Website coming soon

But meanwhile, contact us

Who are the
project members?