FIT1066 Responsible use of data in the age of AI
Faculty of Information Technology
FIT1066 Responsible use of data in the age of AI is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 2 at Clayton. It needs FIT1045 and (FIT1059 or FIT1061) and unlocks 1 unit, leading on to 3 units in all.
- Credit points
- 6
- Offered in 2027
- Semester 2
- Clayton
- Workload
- 144 hours
- per semester
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Requisites
Before FIT1066
After FIT1066
1 unit list FIT1066 as a prerequisite or corequisite.
Overview
This unit explores the critical role of data in shaping AI systems, from how data is collected and governed to how it is transformed and interpreted to support analytical and machine‑learning workflows. You will examine what data is, where it comes from, and how technical, organisational, ethical and societal factors influence its quality and suitability for AI applications. Through practical activities, you will clean, reshape and validate datasets, working with real‑world data sources to prepare them for analysis and model development. You will investigate issues such as consent, bias, intellectual property, data sovereignty and environmental impacts, considering how these factors constrain responsible data use. Using AI‑enabled tools to support exploration and validation, you will build sound judgement about data integrity and its influence on downstream AI outcomes.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | Flexible |
Learning outcomes
When you finish this unit, you should be able to:
- 1
Effectively manage the end-to-end data lifecycle for AI (collection, storage, access, governance, and use) for a given data source, including considerations of integrity, IP, and data sovereignty in line with responsible practice;
- 2
Ingest, clean and transform datasets to produce analysis‑ready data structures suitable for AI workflows;
- 3
Identify privacy and security risks in a selected data source and propose practical safeguards and storage choices that reduce exposure while enabling legitimate analysis and use;
- 4
Use AI‑assisted tools to examine potential ethical risks in datasets - such as bias, harmful patterns, or inappropriate data use - and document limitations, uncertainty and mitigation considerations transparently.
Workload and teaching
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Where it fits
FIT1066 is part of 1 area of study in the 2027 handbook.
Common questions
What can I take after FIT1066?
FIT1066 is a prerequisite or corequisite for 1 unit, including FIT2118. Those lead on to 3 units in all.
When is FIT1066 offered?
In 2027, FIT1066 runs in Semester 2 at Clayton.
How much work is FIT1066?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Which majors and minors include FIT1066?
FIT1066 is part of Applied artificial intelligence.
More details
- Credit points
- 6
- Level
- 1
- Study level
- Undergraduate
- Faculty
- Faculty of Information Technology
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Available
- Handbook years
- 2027