This course aims to introduce students to both basic and advanced techniques in artificial intelligence, emphasizing the application of innovative tools and practices in content collection, production, and dissemination.

Understand the basic concepts behind artificial intelligence, its historical development, and the changes it brings to the field of journalism.

Be familiar with concepts and terminology in journalistic ethics and artificial intelligence.

Understand the biases that may be embedded in machine learning models and how to address them.

Understand why Large Language Models (LLMs) produce incorrect content and learn how to identify it.

Explore ethical issues that frequently arise in journalism when using AI tools.

Examine the relationship between personal values and journalistic decisions.

Recognize the advantages and disadvantages of AI tools in journalistic work.

Become familiar with available digital tools for creating content (text, audio, image, video).

Understand the specific characteristics of the main AI models widely used in the field in order to apply them and evaluate their accuracy and effectiveness.

The course assessment is conducted in English.

Assessment includes a written exam with a combination of questions (essay, short answer, multiple choice) (60%) and weekly assignments (40%).

The exam syllabus, procedures, and assessment criteria are communicated to students in the first lecture. Relevant announcements and materials are posted on the e-class platform.