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Overview

This unit will explain how AI technologies are enabling more deeply human-centred design, including walking through illustrations of implementing predictive behavioural analytics and adaptive interface design in application domains like medicine and education. It will summarise the major design and development themes associated with implementing human-centred AI systems on current … For more content click the Read More button below.

Contacts

Chief Examiner(s)

Professor Sharon Oviatt

Learning outcomes

On successful completion of this unit, you should be able to:
1.

critique AI only systems, transform them into human-centred AI systems and identify the motivation and benefits for doing the transformation;

2.

propose and complete a project that represents a human-centred multidisciplinary AI model;

3.

utilise tools for signal processing and interpretation required for behavioural analytics (e.g. for predicting users' social/emotional, cognitive, or health/mental health status);

4.

critically evaluate empirical findings on the positive versus negative impact of AI technologies on human users and society, and reuse this knowledge to hypothesise the impact of future AI technologies;

5.

recognise ethical, legal and regulatory challenges associated with developing different types of AI applications.

Assessment summary

Examination (2 hours and 10 minutes): 40%, In-semester assessment: 60%.

This unit contains hurdle requirements which you must achieve to be able to pass the unit. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Workload requirements

Workload