Accessibility statement

AI and its Application to Creative Practice - TFT00096H

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  • Department: Theatre, Film, Television and Interactive Media
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2024-25

Module summary

This module provides a broad foundation to develop new concepts and designs for AI-centric creative media systems. A variety of exemplary applications of AI in creative practice will be showcased, highlighting their key functional traits as well as their system architectures and main AI techniques, algorithms, and components. Application areas include games, social media and other forms of interactive media, film and television, music, theatre, fashion, architecture, art, etc.

Module will run

Occurrence Teaching period
A Semester 1 2024-25

Module aims

  • To provide a broad view of artificial intelligence, presenting essential approaches to its modelling

  • To introduce emblematic examples of AI-centric systems and projects deployed to a variety of creative practices - including games, social media and other forms of interactive media, film and television, music, theatre, fashion, architecture, art, etc. - as inspiration and catalyst for future developments

  • To discuss the impact systems and projects have or could have on the design of new forms of interaction and artistic expression, the creative practice workflows, and on the end-users

  • To present the system architectures and AI techniques employed in the implementation of such systems and discuss possible developments

  • To provide a technical foundation for informed debates on what can constitute machine intelligence

Module learning outcomes

  • be able to explain current uses of AI in creative practice, including games, social media and other forms of interactive media, film and television, music, theatre, fashion, architecture, art, etc.

  • be able to analyse and critically evaluate the potential impact of AI-centric creative media systems on production workflows as well as on the end users

  • be able to analyse and describe architectures and models of AI-centric creative media systems, as well as essential aspects of the AI techniques employed in their implementation

  • identify opportunities and generate new concepts and designs for new possible applications of AI in creative media and performance, sketching their technical architectures and justifying the selection of the proposed AI techniques

  • justify and critique choices of different methods and techniques in relation to creative practitioners’ and end users’ needs

  • engage in informed debates on discussions about what constitutes machine intelligence

Indicative assessment

Task % of module mark
Essay/coursework 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 100

Module feedback

You will receive written feedback/mark in line with standard University turnaround times.

Indicative reading

Stuart Russell, Peter Norvig. Artificial Intelligence: A Modern Approach, Global Edition. Pearson, 2021.

AI Learns Fashion Sense: https://www.technologyreview.com/2017/11/16/105086/this-ai-learns-your-fashion-sense-and-invents-your-next-outfit/

IMPROBOTICS An Improvised Theatre Experiment, https://improbotics.org/

IBM Research Takes Watson to Hollywood with the First “Cognitive Movie Trailer” https://www.ibm.com/blogs/think/2016/08/cognitive-movie-trailer/

Learning to see https://www.memo.tv/works/learning-to-see/



The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.