The aim of this course is to examine artificial intelligence not merely as a technical tool or a method of design production, but as an algorithmic communication infrastructure that transforms contemporary media ecosystems, knowledge production, regimes of visibility, forms of representation, public debates, and social inequalities (PO1, PO2, PO4). Within this framework, students are expected to analyze algorithmic media systems in relation to critical media literacy, artificial intelligence literacy, platform studies, data ethics, digital inequality, disinformation, synthetic media, and democratic participation (PO5, PO6, PO7). Students are also expected to frame an AI application or an algorithmic media practice as an object of academic inquiry and to present it in a systematic manner (PO8).

This course examines the effects of algorithms and artificial intelligence systems on the production, distribution, visibility, consumption, and interpretation of media. Algorithmic curation, platformization, data extraction, generative AI, deepfakes and synthetic media, disinformation, algorithmic bias, representation problems, copyright, ethics, surveillance, digital labor, inequalities in access to AI, and AI literacy are among the core topics. The central approach of the course is to position AI beyond the level of tool use as a central object of inquiry in media and communication studies.