Human-AI Interaction
| Code | School | Level | Credits | Semesters |
| COMP3074 | Computer Science | 3 | 20 | Autumn UK |
- Code
- COMP3074
- School
- Computer Science
- Level
- 3
- Credits
- 20
- Semesters
- Autumn UK
Summary
This module is part of the Human-Computer Interaction theme and the Artificial Intelligence and Optimisation theme in the School of Computer Science.
This module is an introduction to the design of human-AI interaction to ensure the AI-driven systems we build are beneficial and useful to people. The module will cover practical design topics including methods and techniques such as natural language processing and conversational interface design. The module will also consider societal and theoretical concerns of human-AI interaction, including algorithmic bias, the ethics of AI, responsible innovation, trust, accountability and explainable AI.
The practical component of the module will involve building AI-driven systems that drive conversational experiences, such as a text-based ‘chatbots’ and speech-controlled services involving automatic speech recognition and natural language processing.
You’ll spend around four hours each week in lectures and labs for this module.
Target Students
Available to Level 3 and Level 4 students in the School of Computer Science. COMP3074 should not be taken if student is/or has taken COMP4008. Prior knowledge in computer programming is required. This module is part of the Human-Computer Interaction theme and the Artificial Intelligence and Optimisation theme in the School of Computer Science.
Classes
- Two 1-hour lectures each week for 12 weeks
- One 2-hour laboratory each week for 10 weeks
Assessment
- 70% Coursework 1: Design and implementation of conversational systems. Deliverables to include a working prototype and report. Reassessment is 100% coursework.
- 30% In-class test: In-class test to assess knowledge and understanding of module content. Reassessment is 100% coursework.
Assessed by end of autumn semester
Educational Aims
The aim of this module is to develop students' critical and practical knowledge of human-AI interaction. It will provide students with a skill set that is essential to effective human-centred AI development.Learning Outcomes
Knowledge and Understanding
- Understanding of the theory and practice of human-AI interaction.
Intellectual Skills
- Critically assess the societal and ethical concerns of interactive AI.
Professional Skills
- Ability to design and implement interactive AI systems.
Transferable Skills
- Considering users in design.
- Critical reflection of CS in the world.
- Programming.