Algorithmic hiring is the usage of tools based on Artificial intelligence (AI) for finding and selecting job candidates. As other applications of AI, it is vulnerable to perpetuate discrimination. Considering technological, legal, and ethical aspects, the EU-funded FINDHR project will facilitate the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation.

FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes, and meaningfully incorporate human expertise.

Your training starts here.

Overview

Instructors

Time schedule

30h Course on Fairness in AI Recruitment

Recipients: Researchers, developers, product managers, quality assurance engineers, HR professionals, activists, workers’ representatives, recruiters, and other professionals who are concerned with algorithmic fairness in recruitment.

held remotely
when: Spring 2025
theory, case studies, data analysis
programmers and non-programmers
free of charge

Learn more about the 30h Course >>>

3h Masterclass

Recipients: Senior product managers and developers, upper management and senior human resources staff, senior civil society representatives fighting discrimination, auditing, and regulatory institutions.

held in presence: Amsterdam
when: 25 October 2024
theory, case studies
overview of the advantages and risks of algorithmic hiring
free of charge

Learn more about the 3h Masterclass >>>

Apply now

30h course

3h Masterclass

To register, fill in the registration form.

FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation) is a project funded by the EU framework program Horizon Europe (grant 101070212). As a result, the courses are totally free of charge.

The 3h Masterclass is structured in two parts (theory and case studies) which are organised in the same session.
The 30h course is structured in three different parts: theory session, case studies, and data analysis and have to be followed in this order. Have a look at the time schedule.

Yes, we will issue certificates to participants attending at least 70% of the classes.

If you have questions related to the project, please contact the project manager Tamara Vorobyeva at tamara.vorobyeva@upf.edu.
If you have technical questions related to the use of the platform, please contact Daniela Rotelli at daniela.rotelli@di.unipi.it.

FINDHR project partners