ENAI Working Group

Technology & Academic Integrity

Technology impacts education in many ways. It multiplies human abilities both in good and bad ways. Some technology helps to nurture academic integrity, and some technology raises new ethical issues or exacerbates existing ones.


  • Tomáš Foltýnek, Masaryk University, Czechia (head)
  • Debora Weber-Wulff, HTW Berlin, Germany (deputy-head)
  • Alla Anohina-Naumeca, Riga Technical University, Latvia
  • Dita Henek Dlabolová, European Network for Academic Integrity, Czechia
  • Jean Gabriel Guerrero, University of Monterey, Mexico
  • Július Kravjar, European Network for Academic Integrity, Slovakia
  • Laima Kamzola, Riga Technical University, Latvia
  • Lorna Waddington, University of Leeds, United Kingdom
  • Olumide Popoola, Queen Mary University of London, United Kingdom
  • Özgür Çelik, Balikesir University, Türkiye
  • Sabuj Bhattacharyya, Institute for Stem Cell Science & Regenerative Medicine, India
  • Salim Razı, Canakkale Onsekiz Mart University, Türkiye
  • Sonja Bjelobaba, Uppsala University, Sweden
  • Tolga Özşen, Canakkale Onsekiz Mart University, Türkiye
  • Zeenath Reza Khan, University of Wollongong in Dubai, United Arab Emirates
  • Zoe Worth, The Open University, United Kingdom


Recent advancements in large language models and related generative artificial intelligence raised many concerns about their ethical use as well as about proper assessment strategies in the new era of education. The main focus of the academic integrity community refocused from plagiarism and contract cheating to the ethical use of generative artificial intelligence. The ENAI working group that dealt with Testing of Support Tools for Plagiarism Detection (TeSToP) has broadened its focus to Technology & Academic Integrity.


The aim of the Technology and Academic Integrity working group is to address ethical issues related to the use of technology in education.

Current Activities

The working group is currently working on the Testing of AI-Generated Text Detection Tools. We are testing 14 tools that claim to detect AI-generated text. The presentation was accepted at ECEIA 2023, and we hope to finish the paper before the conference.

Output and Materials

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