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AI, Equity & Multilingualism




Research

Generative Artificial Intelligence (GenAI) is currently transforming nearly every aspect of our society. With ChatEQUITY, we explore what this means for equal opportunities in a multilingual society. ChatEQUITY is a five-year ERC-CoG project led by Prof. Dr. Orhan Agirdag. The research consists of three components:

AI skills?

  • How do students and teachers interact with GenAI?
  • How do they prompt GenAI, and how are they prompted by GenAI?
  • How can we objectively measure the quality of these interactions?

AI-divides?

  • Is the digital divide turning into a wider AI divide?
  • Or does multilingual GenAI offer new opportunities instead?
  • How AI-skilled are different students and teachers?

Impact? Impact!

  • What is the impact of AI use on students’ learning outcomes?
  • Does Prompting (L)iteracy make a difference?
  • How can we equip students and teachers with strong AI skills?

Our team

  • Prof. dr. Orhan Agirdag — PI
  • Dr. Anouk Van der Wildt — Senior Research Coordinator
  • Dr. Hakan Dursun — Postdoc
  • Daria-Maria Popa — Junior Research Coordinator
  • Ghijs Kilani — PhD Student
  • Amanda Jibaja — PhD Student
  • Doha Ramzi — PhD Student
  • Chloë Jans — Student
  • Marie Boers — Student

Ethics & Equity advisory board

  • Prof. dr. Tuba Bircan (VUB) (chair)
  • Prof. dr. Fazilat Siddiq (University of Oslo)
  • Prof. dr. Mutlu Cukurova (University College London)
  • Prof. dr. Ellen Helsper (London School of Economics)
  • Prof. dr. Jo Tondeur (VUB)

Expert advisors

The ChatEQUITY project is made possible by the guidance of an interdisciplinary team of expert advisors, including:

  • dr. Erol Baykal
  • dr. Blansefloer Coudenys
  • dr. Aurélie Van de Peer
  • dr. Stijn Aerts
  • MSc. Daan Voets
  • MSc. Maarten Hermans
  • Prof. dr. Jozefien De Leersnyder
  • Prof. dr. Karen Phalet
  • Prof. dr. Jan Elen
  • Prof. dr. Dirk Jacobs
  • Prof. dr. Rudi Laermans
  • Prof. dr. Lieven Verschaffel
  • Prof. dr. Tom Beckers

This project has received funding from the European Research Council (ERC) under the European Union's Horizon Europe research and innovation programme (grant agreement n° 101168540).