Designing Human-Centred AI Systems

In today's world, interactive AI-infused systems like movie and music recommendation systems, as well as health or financial digital advice systems, provide algorithmic support to individuals in achieving their short- and long-term goals. Ideally, these systems aim to align with people's values, motivations, habits, and social context, offering augmentation of capabilities by providing algorithmic solutions to tasks that may be mentally demanding or require expertise beyond the individual's reach.

As automation levels rise, ensuring meaningful control, trustworthiness, and understandability of these systems becomes crucial for user acceptance. In this course, students learn to design and evaluate these 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, students 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:

• 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