Aims and Fit of Module

This is a compulsory Year 2 module for all students on BA Arts, Technology and Entertainment with Contemporary Entrepreneurialism offered by the Academy of Film and Creative Technology, designed to prepare students for the evolving impact of Artificial Intelligence in the cultural technology industry. Cultivate Narrative and Visual Storytelling Skills: Enable students to craft compelling stories and translate them into visually engaging narratives using both traditional and AI-enhanced tools. Empower Critical AI Literacy: Equip students with the ability to apply, evaluate, and creatively adapt AI tools within cultural and creative industries, fostering an understanding of AI’s potential and limitations. Promote Ethical and Industry Awareness: Develop students' critical awareness of AI ethics, bias, and legal challenges in AI-driven art, preparing them for responsible and innovative engagement in the creative economy.

Learning outcomes

A Craft Engaging, Multi-Modal Narratives: Design stories that leverage both traditional storytelling techniques and AI-enhanced elements. B Translate Stories into Dynamic Visual Narratives: Develop effective storyboards and visual sequences that integrate AI tools to enhance story elements, such as character, setting, and plot, etc. C Critically Engage with AI’s Role in Cultural Production: Evaluate the aesthetic, ethical, and social impacts of AI in storytelling and visual arts, with a focus on bias, ownership, and industry applications.

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments. The teaching sessions are divided into two components (lectures and labs). A series of lectures will provide the historical and conceptual background to understand the writer and his/her process Labs will focus on the practical process of AI enhanced ideas generation and stories generation.