Human-AI Interaction MSc

Compulsory

• Human-AI Interaction

  The Human-AI Interaction module bridges the interdisciplinary fields of Human-Computer Interaction (HCI) and Artificial Intelligence (AI). It aims to provide students with a comprehensive understanding of the principles, tools, and methods of designing and evaluating AI systems that interact effectively with humans. The module provides an in-depth exploration of relevant theories, models and skills required to be able to select and apply appropriate methods for human-centred AI-focused projects to improve the user experience. This includes understanding the range of approaches and frameworks available for structuring the design of human-centred projects, and when and how to apply them to be beneficial to diverse user needs. The module also focuses on how to evolve human-centred designs using prototyping methods and software, an important part of which is learning about the various methods for evaluating designs to maximise the user experience. In addition, the module fosters core design, communication and professional skills essential for effective collaboration in modern multidisciplinary teams, while encouraging responsible innovation and ethical considerations.

• Interactive AI Development and Applications

  The aim of this module is to develop understanding of knowledge, skills and tools to build interactive AI solutions that transform human interaction with technology, with a focus on promoting sustainable, ethical, and socially responsible innovation. It further focuses on the practical aspects and implementation of AI tools for interactive user experiences by revolving around understanding the dynamics of different AI-driven software, especially how to use and combine them to develop multifunctional pipelines, whilst also comprehending how to deploy and benchmark their outcome effectively. The module will also explore a spectrum of task-specific and domain-oriented applications, concentrating on implementing human-centric solutions by design, whilst encouraging that these are aligned with principles of inclusivity, equity, and long-term societal impact to foster positive change.

• Ethics and Governance of Digital Systems

  This module aims to develop a critical understanding of topics related to the handling and governance of digital information in contemporary systems contexts. Such topics will include the way that networked and intelligent systems are designed and used; the motivations for their adoption; the substantive issues arising; and approaches to their regulation and governance. Examples from the public and private sectors will be used to illustrate these developments.

• Artificial Intelligence

  The aim of this module is to introduce the key concepts, principles and fundamental methods of artificial intelligence, and to develop your skill in analysing of problem requirements, applying appropriate artificial intelligence methods to defined problems, and evaluating the effectiveness of the adopted approach.

• Data Visualisation
  The aim of this module is to develop the reflective and practical understanding necessary to visually present insight drawn from large heterogeneous data sets to, for example, decision makers. Content will provide an understanding of human visual perception, data visualisation methods and techniques, dashboard and infographic design. The role of interactivity within the visualisation process will be explored and an emphasis placed on visual storytelling and narrative development.
• Research Project Management
  This module aims to develop and deploy the skills necessary to design a scholarly piece of research work to address an identified problem area within the chosen field of study.
• Dissertation

  The aim of the module is to develop and demonstrate advanced knowledge and skills in an agreed topic area related to the master's programme followed. As preparation for the dissertation, you will be given grounding in both quantitative and qualitative methods of data collection and analysis appropriate to conducting empirical and/or experimental research.

Optional

• Introduction to Python

  The aim of this module is to give the students a comprehensive introduction to programming in Python. By the end of the module, students will have developed foundational skills in programming in Python, enabling them to write simple programs, manipulate data, and solve problems in their field of study.