Toward a Standard for Fair AI-driven Recruitment

  • Panel
  • Orangerie
  • Friday 22.05 — 14:15 - 15:30

Organising Institution

Norwegian University of Science and Technology

Norway

  • Academic 2
  • Business 2
  • Policy 2
AI systems are increasingly used to streamline hiring and HR processes, while raising significant concerns about trustworthiness. Given their influence on life opportunities and their potential to reproduce historical discrimination or compromise data protection (Recital 57), Regulation (EU) 2024/1689 classifies these systems as high-risk and establishes obligations to ensure human-centric, trustworthy AI that protects health, safety, and fundamental rights while supporting innovation. Article 40 further specifies that harmonised standards developed by bodies like CEN-CENELEC may serve as key instruments for demonstrating compliance, with ongoing work on fairness, inclusiveness, and non-discrimination led by Joint Technical Committee 21. This panel, organised within the Horizon Europe BIAS project, advances the policy debate on how standards can move beyond technical benchmarks to embed normative protections. It will examine current ambitions and limitations, identify essential conditions for future standards, and explore interdisciplinary strategies.

Questions to be answered

  1. What opportunities and challenges arise from using harmonised standards to promote trustworthy AI and mitigate diversity biases in the labour market?
  2. How can harmonised standards move beyond technical benchmarks to embed normative principles such as fairness, diversity, and non-discrimination?
  3. Which interests and criteria should guide standardisation processes to address diversity bias and support fair, inclusive, and non-discriminatory AI systems in the labour market?
  4. How can interdisciplinary approaches be operationalised within standardisation processes to address AI diversity biases of AI systems in the labor market?