Tagging a Moving Target: Ahnaf and colleagues highlight on AI detectability issus at georgia tech.

Georgia Tech was overwhelmed with the presence of brilliant minds exploring the field of AI and Education on May 15, 2026. It was the annual meeting of National AI Institute for Adult Learning and Online Education (AI-ALOE) and discussions took place on current development of several amusing ed-tech developments and future agenda.

The meeting’s one core attraction was the poster session where researchers presented their currently completed or work-in-progress projects through attractive poster presentations.

Photo: Ahnaf and Colleagues with the study poster. Colleagues: Dr. Min Kyu Kim (Left) and Dr. Lia Haddadian (Right).

Ahnaf and Colleagues (Dr. Min Kyu Kim, and Dr. Lia Haddadian) presented their current work on AI detectability – The Moving Target Problem. The unique study talks about how AI detectability is a moving target issue and empirically prove why assessment needs to be redesigned in the modern AI based world. The researchers also highlight the blue ocean opportunity in the AI detectability product market and argue that in the AI arms race it is essential we either become technologically advanced enough to tackle the AI misuse threat, or we design pedagogy in a way that AI threat becomes suppressed.

Visitors of the session highly appreciated Ahnaf and colleagues’ work and some of the visitors also showed interest in knowing more about the study through publication.

Photo: Ahnaf with Dr. Ashok K. Goel, Director of AI-ALOE and Professor at Georgia Tech.


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