Persons, people and personalisation: understanding subjectivity through AI
Royal Holloway, University of London
National Productivity Investment Fund (NPIF)
AI-driven personalisation offers a clear opportunity for creative industries to more effectively engage audiences. But personalisation is reliant on profiles created from individual and collective data, raising questions as to what gaps exist between the models and human experience. This project will partner with a world-leading television and multiplatform company to understand how such personalisation can be effectively and ethically exploited in story experiences to generate greater audience engagement. It addresses a clear creative industries business challenge with clear commercial returns.
Living human beings generate data that in turn feeds, together with other people’s data and models, the profile-creation and various other methods through which machine learning techniques personalise content. How are living human beings mapped onto the profiles and personas used for personalisation? How well does it work? Are there gaps between the ‘models’ of the humans and their groups, which broadly understood AI generate, and the experiences of the living human beings themselves, when they receive their personalised content?
This PhD focuses on personalisation and asks a range of questions, from conceptual ones, about the techniques of personalisation both in terms of machine learning innovation and their cultural effects, to the practical ones, on how specific audiences respond to personalised content. The overall aim of the project will be to understand how effectively a ‘subjectivity’ modelled by AI works with human experiences, conceptually, technologically, ethically, and in terms of personalised cultural content.