Tags
AI in Academia
INFOGRAPHIC : Why AI in Academia Is Not a Silver Bullet: Exploring AI Blind Spots
Artificial intelligence (AI) is quickly becoming a key player in academic settings, assisting students and researchers with conducting research, analyzing data, and even writing and publishing. Researchers all over the world are weaving new tools and technologies into their everyday academic tasks. But as academics lean more on AI, some big questions are popping up. Concerns about fabricated data, academic integrity, and over-reliance on technology are sparking conversations among researchers, educators, and policymakers alike. This infographic takes a closer look at some common blind spots of AI use in academia, pointing out the risks researchers need to keep in mind as they bring AI into their work. It’s all about making sure that while academia adapts to technological advances, it does not undermine the quality of research and the core principles of academia.
-
Dec 29, 2025
SLIDE DECK : Between Promise and Practice: What AI Still Can’t Do
Artificial intelligence has rapidly become an integral part of academic research, offering powerful capabilities for literature synthesis, data analysis, and ideation. For doctoral students, these tools present both unprecedented opportunities and significant risks. While AI can accelerate certain aspects of research and writing, its misuse can undermine the very foundations of rigorous academic inquiry. The challenge lies not in avoiding AI entirely, but in understanding its limitations and applying it judiciously. Here, we go through critical pitfalls that can derail research work when AI is used inappropriately.
-
Sep 22, 2025
