AI goes Media (LV / Seminar)

MA-Med 6/7-2, 3 or 6 ECT

Format: In person, bilingual, M 2 – 4 pm

AI is revolutionizing personal practices, businesses, and public discourse as we speak.

The present seminar will dive into future applications of AI in media contexts in cooperation with FreeTech Academy (ehemals Axel Springer Journalistenschule) and academic guest speakers.

After laying the groundwork regarding terminology and theoretical frameworks, seminar participants will form teams to work on researching potential AI applications, based on a briefing from practitioner(s). Possible end-products of the teams could be presentations/management reports on ‘Best Practices in AI for Automated Journalism’ or ‘Exemplary AI Applications in Personalized News’ or ‘AI Developments in Self-Tracking.’

Learning goals:

 knowledge on AI theories and applications, information search/reduction/integration/presentation, bridging from abstract knowledge to applied solution ideas, innovative thinking, team work & social skills (i.e., perspective taking and empathy), presentation & writing skills, networking abilities

Tentative Session Schedule

1. Introduction to course,
2.  AI from an Academic Perspective (S. Westerwick, TUB, HBS Bldg.)
3. AI from an Academic Perspective (S. Westerwick, TUB, HBS Bldg.)
4. Perspectives to AI from a Business Perspective (L. Moll, FreeTech, Axel Springer Bldg.)
5. 
   
6. Project briefing (L. Moll, FreeTech, HBS Bldg.)
7. 
   
8. Team formation, Project breakdown, timeline, splitting tasks (S. Westerwick, TUB, HBS Bldg.)
9. Academic Input for teams based on their requests (SW or guest speaker,
10.  example: Persuasion through Technology, Richard Perloff, Cleveland State University)
11. Planning and Topics Check-In (Project Teams, HBS Bldg.)
12. Information search session & guidance (S. Westerwick & K. Selmikeit, TUB Library Bldg.)
13. 
    
14. Planning and Topics Check-In (Project Teams, HBS Bldg.)
15. 
    
16. Academic Input for teams based on their requests (SW or guest speaker;
17.  example: AI interfaces, Nicole Krämer, TU Duisburg)
18. Academic Input for teams based on their requests (SW or guest speaker; example: mobile communication, Joe Bayer, Ohio State University)
19. 
    
20. Planning and Topics Check-In (Project Teams, HBS Bldg.)
21. Presentation rehearsals (Project Teams, HBS Bldg.)
22. 
    
23. Project presentations at FreeTech, Axel Springer Bldg.

Expectations for successful completion:

Ongoing active participation and discussion, attending milestone meetings (sessions 4, 5 and 14), continuous reading of seminar materials to prepare session discussions and group work, information search and presentation preparation

Graded contributions:

presentation & handout (kl. Leistung), presentation & extended paper (gr. Leistung)