Delivered at:: Institute of Media

Course type:: Elective course

When:: 2 year, 3 module

Instructor

Бабичев Михаил Александрович

Full Syllabus

Abstract

The primary objective of this course is to foster a comprehensive understanding the possibilities and constraints of sophisticated media algorithms and artificial intelligence in media field among students. Over the duration of the course, students will be encouraged to consider the process of development AI and media algorithms as a part of deep mediatization process. Within the framework of this course, students will consider real cases of using artificial intelligence within digital platforms and get a closer look to algorithms used on different media platforms. The curriculum emphasizes a critical lens, encouraging students to assess the ethical, social, and cultural dimensions associated with the utilization of AI in media contexts.

Learning Objectives

To develop understanding of deep mediatization process in the context of the generative artificial intelligence emergence
Give students a general understanding of algorithms used on digital platforms and their impact on the creation and promotion of the content.
Cultivate the ability to independently assess the consequences and risks (economic, political, and ethical) arising from the technologization of content creation and distribution.

Expected Learning Outcomes

Demonstrates an understanding of the intricacies of deep mediatization at contemporary stage of social development.
Formulates and analyzes the role of algorithms and artificial intelligence in the processes of content creation and distribution.
Independently assesses the risks and challenges associated with the ongoing evolution of algorithms and generative AI models.
Possesses understanding and the ability to navigate scientific debate related to the critical analysis of AI and algorithms in mediastudies

Course Contents

Introductory information. Mediatization as modern social factor and as ongoing process
Algorithms in the process of content distribution and their impact on the user.
Artificial Intelligence in media field: Automation of Content Creation
Scientific debate within the realm of critical analysis of artificial intelligence: economic, political, and ethical risks associated with its deployment.
Prospects for the Continued Development of Artificial Intelligence: Competencies and Knowledge Essential for Media Professionals

Assessment Elements

Attendance
Student activity
Debate participation
Final essay

Interim Assessment

2023/2024 3rd module
0.05 * Attendance + 0.35 * Debate participation + 0.4 * Final essay + 0.2 * Student activity

Bibliography

Recommended Core Bibliography

Nicholas Diakopoulos. (2019). Automating the News : How Algorithms Are Rewriting the Media. Harvard University Press.

Recommended Additional Bibliography

Hepp, A., & Tribe, K. (2013). Cultures of Mediatization. Cambridge, UK: Polity. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=572571

Master’s Programme 'Critical Media Studies'

Critical Studies of Artificial Intelligence and Media Algorithms