MEVIT4311 – Media Innovation and generative AI
Course content
This course is designed to explore the rapidly evolving field of generative artificial intelligence (AI). We will examine the history of AI, its potential future impact, and the ethical considerations surrounding its development and use.
More, specifically, this course will explore the field of generative AI (such as ChatGPT, Midjourney, DALLE-2) and how it is impacting media innovation. Students will learn about the different types of open AI technologies, including conversational AI, and how they are being used by media companies to create new experiences.
This course will be jointly taught by a human instructor and an AI co-participant (ChatGPT). The AI co-participant will be integrated into the course in various ways, including leading discussions, and providing feedback on task and questions from students.
First, we will explore how AI is increasingly being used to create or generate new forms of media. We will examine how AI is being used to create images, videos, and other forms of media
Second, we will explore how AI is increasingly being used to create more realistic and lifelike conversations through text generation (e.g. in Replika, ChatGPT, Kuki).
To do this, the course will investigate real cases about how conversational AI may change the way we interact with technology and give students a practical introduction to artificial intelligence through small projects. Moreover, these projects will explore how AI can be used in innovations, by applying conversational AI to create their own domain specific media innovation. Students will learn about the different applications of AI in media, such as content generation, personalization, and recommendation. They will also learn about the ethical implications of AI in media and the potential impact of AI on the future of media and society.
We will discuss the opportunities and challenges related to the implications of using AI to create new content and realistic conversations, and how this technology may impact our social interactions in the future.
Note! This course description is written in collaboration with ChatGPT.
Learning outcome
By the end of this course, students will be able to:
Skills:
- Identify and apply appropriate methods for acquiring and representing knowledge in AI systems.
- Use AI to analyze and create content, and to assist in the analysis of scientific publications, providing insights into their quality and relevance.
- Use AI to make scientific publications more accessible and understandable
- Use AI to facilitate discussions around the implications of research findings, enabling professionals to make more informed decisions in their work.
- Design conversational AI systems that interface with media -evaluate the effectiveness of AI systems in media applications.
Knowledge:
- Understand the basics of AI and how it is being used in media and other industries
- Understand the history and origins of AI and its impact on humans and society
- Understand the ethical implications of AI and its impact on humans and society
- Develop their own ideas for how AI can be used in innovative ways to create new media experiences
General competencies:
- Be able to write and communicate research about AI to the general public and specialists
- Be able to ask well-grounded academic questions and identify new relevant issues about AI in relation to media innovations
- Be able to reflect critically on various practices for handling AI
Admission to the course
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
The course is available to students admitted to Media and Communication Studies (master) (being phased out) and Politisk kommunikasjon (master).
Teaching
Teaching takes place throughout the semester organised as lectures and obligatory working groups where we in smaller group are going to develop various chatbot services.
Lectures and working groups will be given in English.
This course has three obligatory components that each needs to be fulfilled in order to be able to take the exam:
- Obligatory attendance - 5 out of 7 seminars
- Group project where you learn how to develop chatbots
- A group presentation tied to the group project
Obligatory activities and absence
It is the student`s own responsibility to stay informed about the obligatory activities, comply with the requirements for attendance and to uphold deadlines.
The compulsory assignment will be assessed as approved/not approved. Approval of the assignment is a prerequisite for being allowed to sit for the examination.??
If you get ill or have other valid reasons for not being able to attend or meet the deadline of an compulsory activity, you must apply for valid absence or postponed deadline.???
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Examination
Group assignment: Term paper (graded A-F where F is fail).
The students will be assigned to groups during the seminars, where they will work on a group project. The term paper will be tied to the group project the students work on in their assigned groups.
The submitted paper may be up to 15 pages (one page is calculated to 2300 characters without spaces).
The three obligatory activities must be approved to be able to hand in the term paper.
Language of examination
The examination text is given in English.You may submit your response in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
A term paper or equivalent that is passed may not be resubmitted in revised form.
If you?withdraw from the exam?after the deadline, this will be counted as an examination attempt.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.