Course Catalogue

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Artificial Intelligence (AI) is increasingly featured in all areas of working with digital information, whether it is creation, interpretation, communication, and/or use. This places it at the centre of the social and cultural impact of the digital revolution. This course builds on an understanding of the basic mechanics of AI introduced in AI for the Arts and Humanities (A) to examine how human process for digital content creation can be augmented with artificial intelligence. You will learn practical skills to incorporate AI models for generating content into your creative process, and will have the opportunity to apply the process to output audio, text, and/or image. The course aims to inspire a deeper contemplation on the social implications of generative AI, for example, on our creative culture, economy, and heritage.

This is a blended course. 1x1hr per week lecture and 1x1hr per week computer lab over 10 weeks as scheduled on MyCampus. Lecture will be delivered online either live and/or pre-recorded. Supervised computer labs will be in-person by default.

Available to all students fulfilling requirements for Honours entry into Digital Media and Information Studies, and by arrangement to visiting students or students of other Honours programmes who qualify under the University's 25% regulation.

None

AI for the Arts and Humanities (A)

The assessment will comprise a portfolio (50%) and a report (50%).

The portfolio (2500 words) will comprise presented code contextualised with written text, image, and/or sound.

The report (1500 words) will consist of an evaluation of the portfolio in relation to social concerns.

Reassessments are normally available for all courses, except those which contribute to the Honours classification. Where, exceptionally, reassessment on Honours courses is required to satisfy professional/accreditation requirements, only the overall course grade achieved at the first attempt will contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

This course aims to:

■ Engage you in a critical dialogue surrounding AI and how it affects the notion of creativity across multiple forms of digital content (e.g. audio, text, visual). 

■ Enhance your knowledge of machine learning relevant to generating your own digital content. 

■ Explore social concerns (e.g. legal, archival, philosophical) specific to AI-driven creative content generation. 

By the end of this course students will be able to:

■ Formulate a project for incorporating a generative AI model as part of the human creative process. 

■ Distinguish the components underlying a generative model in artificial intelligence. 

■ Illustrate skills relevant to employing generative AI for creative purposes in a portfolio of presented code (computer code accompanied by written text, comments and relevant images and/or audio to engage a broader audience).

■ Evaluate your project on the basis of its implications in relation to social concerns (e.g. legal, archival, philosophical).

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.