Overview
Requisites
Prerequisite
Contacts
Chief Examiner(s)
Professor Sharon Oviatt
Learning outcomes
critique AI only systems, transform them into human-centred AI systems and identify the motivation and benefits for doing the transformation;
propose and complete a project that represents a human-centred multidisciplinary AI model;
utilise tools for signal processing and interpretation required for behavioural analytics (e.g. for predicting users' social/emotional, cognitive, or health/mental health status);
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;
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.