Art education must shift from focusing solely on technical skill with generative AI to cultivating algorithmic responsibility, where students critically examine how AI-generated images are produced, interpreted, and shared.

In qualitative research with AI, uncertainty should not be eliminated but made visible, because doubt, ambiguity, and even absences in the data can constitute relevant information.

Qualitative research has often been characterized by a paradox: while it claims to be open to complexity, ambiguity, and the emergence of social phenomena, it frequently ends up reproducing predictable, incremental, and overly controlled analytical trajectories…

Agentic AI is particularly effective in operational and analytical support tasks that do not compromise the researcher’s interpretative autonomy, or sovereignty, so to speak. These include proposing initial codes…

The integration of Artificial Intelligence (AI), essentially Generative Artificial Intelligence (GenAI), into qualitative research is redefining the way we produce knowledge. Generative tools, language models, and AI agents have transformed previously time-consuming tasks…

The relationship between the Chain of Thought (CoT) prompting and the STORM tool is rooted in their common goal of enhancing capabilities…