Human-Centred AI
To maximize the effectiveness of AI, it is crucial to integrate computer analytical capabilities with the power of human intelligence, especially in AI solutions that directly interact with humans. This theme covers knowledge and skills related to human behaviour, cognition, human-AI interaction, and the design and evaluation of human-AI solutions. With this, you can develop human-centred AI solutions such as developing acceptable interactive AI-infused systems that augment human intelligence, interpreting human behaviour and cognitions by automated approaches, and creating social agents, such as a conversational agent, that can engage in free conversations with a human.
Year 1 |
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Quarter 1 |
Quarter 2 |
Quarter 3 |
Quarter 4 |
| Data management and Engineering | Software Engineering and Testing for AI Systems | Responsible Data Science and AI Engineering | Research course |
| Machine and Deep Learning | Theme 1 | Theme 1 | Theme 1 |
| Probabilistic AI and Reasoning | Theme 2 | Theme 2 | Theme 2 |
Credits: each course in a theme is 5EC, so each theme is 15EC.
Students choose 2 themes, each of which has 3 courses in the 2nd, 3rd and 4th quarters of the 1st year. For this theme, you will take the following courses:
Q2 - Human-Centred Machine Perception
This course covers relevant theories and principles for developing Human-centred Machine Perception systems that leverage sensor data (e.g., from cameras, microphones, or wearables) in individual, dyadic, and group settings. Topics covered include data collection, annotation, implementation, and evaluation of such systems, as well as relevant theories about human behaviour and psychology (e.g., vocal expression, group dynamics and human emotion).
Q3 - Conversational Agents
This course will give attention to different verbal and nonverbal behavioural characteristics of conversation and embodied interaction, such as, intonation, gaze and gestures that humans show when communicating with both other people and machines. This behaviour is then related to different multimodal dialogue functions, including turn-taking, addressing others, and backchanneling, that give shape to the communication process. Topics on interaction with embodied agents and how to design memory models for conversational interaction are also discussed. You will apply this knowledge through the design, development, and evaluation of an embodied conversational agent application that uses a memory model to interact.
Q4 - Designing Human-Centred AI Systems
In this course you will learn to design and evaluate systems from a human-centred AI perspective. The course incorporates psychological theories and concepts that inform algorithmic solutions to nudge individuals towards making good decisions or enhancing their ability to modify their behaviour without coercion or deception. By understanding human behaviour and cognitive processes, you will learn how to design AI systems that support users in a beneficial, transparent, and respectful way of their autonomy. The course's main topics are: Human motivation, values, cognition, behaviour, learning, change, decision-making, and persuasion; HCAI design methods; Technology acceptance of interactive AI-infused systems; Design guidelines for Human-AI interaction; Algorithmic nudges and boosts.