[RESEARCH] Congratulations to Dr. Safarov N. Camille and Dr. Gregory Gadzinski!

Congratulations to Dr. Safarov N. Camille and Dr. Gregory Gadzinski!

Their article, "In AI We Trust? Exploring the Role of Explainable GenAI and Expertise in Education," has been published in the 3* Human Factors: The Journal of the Human Factors and Ergonomics Society.

• Their results point to a “AI knows better” heuristic at work—especially among nonexperts—where polished presentation is easily read as reliability, encouraging uncritical agreement with incorrect recommendations; in parallel, experts benefit more from deeper rationales when AI is accurate, yet still display under-reliance on correct assistance in many cases.

• Overall, trust calibration is driven less by any single cue than by the alignment of student performance, AI reliability, and explanation design, with prior agreement acting as a powerful amplifier of subsequent alignment.

• The findings imply that instructional approaches should promote independent reasoning before exposure to AI, deploy concise but diagnostically informative explanations, and include brief verification steps before accepting AI recommendations, especially for nonexperts who are more prone to harmful switches.

• Simple monitoring tools that track helpful versus harmful changes could support a more discerning and productive use of AI tools.

Full article: https://lnkd.in/dWsjKdSN

This article is co-authored with Dr. Schlögl, S.