5912382: FU_Campus Radio-AI in journalism

Description

This module allows students to explore and apply the role of Artificial Intelligence (AI) in radio, podcasts and journalism. With the launch of the first AI-driven moderator on the University of Liechtenstein's Campus Radio, an innovative media concept is being implemented and further developed. Students investigate how AI tools can support and enhance journalistic content creation and learn about the possibilities AI offers for program planning, moderation, and production. The core question: How can AI enrich journalism and radio, and what does this mean for the future of the medium?

Lecture Goals

• Students learn how AI tools can enrich the research and planning of broadcasts.
• They develop skills in moderating and implementing AI-supported radio formats.
• They analyze trends and ethical issues surrounding the use of AI in radio journalism and understand the balance between human and machine communication.
• Students expand the University of Liechtenstein's Campus Radio by developing formats that leverage AI's strengths.
• Critical Analysis: Understanding and evaluating current developments in AI in journalism and reflecting on their implications.
• Technical Skills: Practical application of AI tools in radio and podcast production, such as voice synthesis and automation tools.
• Planning and Production: Designing and producing radio formats that combine the strengths of AI with traditional journalistic quality.

Lectures Method

• Broadcasts and Audios: Producing and moderating shows that incorporate AI-driven content.
• Hands-On Workshops: Introduction to relevant AI technologies for journalism.
• Case Studies and Group Work: Discussion of real-life AI use cases in the media sector and implementation in Campus Radio.

Materials

• Technical equipment: smartphone, microphone, laptop, audio-software (e.g. Audiacity)
• AI software: Access to text and speech generation tools as well as other relevant AI applications used in the media industry.