Pre-study on Fair Competence Assessment in AI Video Interviews

AI video interviews (AVI) can mistake circumstance — language, disability, neurodivergence or technical setup — for low competence, resulting in unfair outcomes. This project will identify factors and strategies that enable fairer AI-based competence assessment.

Key data

Description

This pre-study would develop a human and technical taxonomy for assessing AI interviews fairly with respect to a candidate's personal characteristics. It will yield two main outcomes: (i) Characterisation of the factors that hinder AVI assessments, and (ii) Recommended solutions to differentiate between candidate competences and other factors, together with the metrics and test scenarios needed to validate them later. This analysis will identify both algorithmic and procedural approaches to improve fairness in the AI interview systems.