Critical AI Literacy in Practice

Slides for a talk outlining how to practice critical AI literacy in Digital Humanities. The presentation sketches a brief history of AI, surveys limitations of generative models (bias, explainability, transparency, accountability, reproducibility, environmental impact, legal and social issues), and reviews current Swiss DH projects using LLMs. It proposes a competency model spanning technical literacy, epistemological awareness, ethical evaluation, social impact assessment, practical scholarly workflows, and continuous learning.