Communication and Generative Ai
A.Y. 2026/2027
Learning objectives
Within the area of computer science, students will acquire knowledge and understanding of:
- what artificial intelligence is and how it works — language models and automatic generation of images, audio and video;
- basic principles of generative models and how to interact with them (prompting);
- AI applications in digital communication;
- criticalities: reliability, bias and transparency of AI-generated contents.
- what artificial intelligence is and how it works — language models and automatic generation of images, audio and video;
- basic principles of generative models and how to interact with them (prompting);
- AI applications in digital communication;
- criticalities: reliability, bias and transparency of AI-generated contents.
Expected learning outcomes
- Using generative AI for digital communication projects.
- Writing effective prompts to get relevant and coherent results from generative models.
- Critically analysing AI-generated contents, evaluating their communicative quality, context adherence and potential bias.
- Incorporating generative AI in the writing and editing process, and in the production of multimedia contents.
- Writing effective prompts to get relevant and coherent results from generative models.
- Critically analysing AI-generated contents, evaluating their communicative quality, context adherence and potential bias.
- Incorporating generative AI in the writing and editing process, and in the production of multimedia contents.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
INFO-01/A - Informatics - University credits: 6
Lessons: 40 hours