IFQ521 Trust and Artificial Intelligence
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | IFQ521 |
|---|---|
| Equivalent(s): | IFN521 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,192 |
| Domestic tuition unit fee | $4,116 |
| International unit fee | $5,616 |
Unit Outline: Session 1 2026, QUT Online, Online
| Unit code: | IFQ521 |
|---|---|
| Credit points: | 12 |
| Equivalent: | IFN521 |
Overview
Human beings engage in information environments which are increasingly being powered by AI. Trust plays an important role in the use of AI and collaboration in human-AI systems. This unit covers two aspects within this context 1) the social and cognitive principles and processes surrounding the establishment, maintenance, and repair of trust between humans and intelligent agents, machines, algorithms, and/or other emergent technologies, (2) how interactions with AI shape human beliefs, perceptions, attitudes, and behaviours.
Learning Outcomes
On successful completion of this unit you will be able to:
- Synthesise knowledge of human cognition and theories of machine intelligence to understand human judgements of trust in interactions with AI systems
- Analyse, and report on interactions between humans and AI for indicators of using a range of methodologies
- Critically assess how trust and AI applies to contemporary IT contexts.
- Employ teamwork skills and processes to participate collaboratively, and demonstrate an understanding of trust and AI within the context of groups.
- Reflect on your individual learning journey to develop an understanding of your learning in the context of future IT applications and career aspirations.
Content
The unit content is based on two main components:
1) Principles of establishing, maintaining and repairing trust between humans and AI systems:
- Understand and critically analyse the cognitive basis of trust
- Understand the essential characteristics of machine intelligence
- Develop an understanding of trust in the context of human-AI interactions
- Examine cases of trust erosion and breakdown, and explore approaches to prevention and remediation
2) How interactions between humans and AI shape beliefs, perceptions, attitudes and behaviours in the real world:
- Explore how the principles can be implemented in AI system design
- Investigate how interactions with AI influence human judgements of trust
Learning Approaches
This unit is designed for asynchronous online study, with activities including numerous short videos and exercises carefully chosen to reinforce key skills and concepts.
Underlying concepts and principles will be examined as case studies of real systems impacting trust and AI. Cases will include contemporary illustrations such as: deceptive AI generated content, social manipulation through AI embedded systems, high stakes Human-AI decision systems, super-intelligent AI systems.
The unit will be delivered in a modular style with opportunities throughout the unit to participate in online discussions with peers and teaching staff.
Assessment is considered to be an integral part of the learning in the unit and provides opportunity for formative feedback.
Feedback on Learning and Assessment
Feedback in this unit is provided to you through ongoing peer and learning facilitator feedback on assessment-related activities throughout the teaching period.
- formative in-class individual and whole-of-class feedback provided by unit staff during discussion activities
- responses to questions posed through the unit communication channel from your peers and teaching staff
- feedback given on your assessment items individually via the rubric and written feedback.
Assessment
Overview
The assessment for this unit is designed to integrate conceptual material on Cognition, Information Interaction, and Information Technologies, within a practical context. Two assessment tasks focus on foundational knowledge, critical understanding of knowledge in context, and application of knowledge. One task will focus on self reflection. Foundational knowledge and self-reflection tasks will include formative components. All tasks are criteria referenced.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Synthesis and Application Task
Critique selected theories and perspectives on trust in AI in regard to ability to maintain, repair and remediate trust in human-AI interactions.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Research Report
Design an experiment based on trust and AI that will analyse data from human sources. Report of the experimental design experiment and the analysis of results according to methods and techniques taught during the unit, and link to core principles.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Reflective Practice Journal with recorded reflection
This task has two components: a reflective journal and a short recorded presentation.
The reflective journal will document challenges encountered during the unit, how practice was or should have been changed to overcome them, and strategies for future learning and development. The short recorded presentation will provide a synthesis of your reflections on your learning throughout the semester.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resources to support your learning in this unit will be provided via the unit Canvas site.
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.IQ14 Graduate Certificate in Business Analysis
- Demonstrate advanced knowledge of the business analysis discipline.
Relates to: Synthesis and Application Task - Critically analyse complex business challenges and opportunities and use creativity and problem-solving skills to generate solutions.
Relates to: Research Report - Work effectively in both self-directed and collaborative contexts.
Relates to: Synthesis and Application Task, Research Report, Reflective Practice Journal with recorded reflection - Critically reflect on the social, cultural, ethical and diversity issues related to business analysis, and more generally the IT field.
Relates to: Reflective Practice Journal with recorded reflection
IQ19 Graduate Diploma in Information Technology
- Demonstrate advanced IT knowledge in one or more IT disciplines.
Relates to: ULO1, Synthesis and Application Task - Critically analyse complex IT problems and opportunities and use creativity and problem-solving skills to generate solutions.
Relates to: ULO1, ULO2, ULO3, Synthesis and Application Task, Research Report, Reflective Practice Journal with recorded reflection - Apply advanced, industry-best practice, IT methods, tools and techniques to develop and implement IT systems, processes and/or software.
Relates to: ULO2, Research Report - Work effectively in both self-directed and collaborative contexts.
Relates to: ULO4, Research Report - Demonstrate developed values, attitudes, behaviours and judgement in professional contexts.
Relates to: ULO5, Reflective Practice Journal with recorded reflection
IQ20 Master of Information Technology
- Demonstrate advanced specialist IT knowledge in at least one information technology discipline
Relates to: ULO1, Synthesis and Application Task - Critically analyse complex IT problems and opportunities and use creativity and problem-solving skills to generate innovative and novel solutions that are convincingly justified.
Relates to: ULO1, ULO2, ULO3, Synthesis and Application Task, Research Report, Reflective Practice Journal with recorded reflection - Integrate advanced, industry-best practice, IT methods, tools and techniques to develop and implement complex IT systems, processes and/or software.
Relates to: ULO2, Research Report - Employ leadership and initiative in both self-directed and collaborative contexts to create value for others
Relates to: ULO4, Research Report - Create positive change through critically reflecting upon and actioning responses to the social, cultural, ethical, sustainability, legal and accessibility issues in the IT field, including how they relate to First Nations Australians and diverse populations.
Relates to: ULO5, Reflective Practice Journal with recorded reflection
Unit Outline: Session 3 2026, QUT Online, Online
| Unit code: | IFQ521 |
|---|---|
| Credit points: | 12 |
| Equivalent: | IFN521 |
Overview
Human beings engage in information environments which are increasingly being powered by AI. Trust plays an important role in the use of AI and collaboration in human-AI systems. This unit covers two aspects within this context 1) the social and cognitive principles and processes surrounding the establishment, maintenance, and repair of trust between humans and intelligent agents, machines, algorithms, and/or other emergent technologies, (2) how interactions with AI shape human beliefs, perceptions, attitudes, and behaviours.
Learning Outcomes
On successful completion of this unit you will be able to:
- Synthesise knowledge of human cognition and theories of machine intelligence to understand human judgements of trust in interactions with AI systems
- Analyse, and report on interactions between humans and AI for indicators of using a range of methodologies
- Critically assess how trust and AI applies to contemporary IT contexts.
- Employ teamwork skills and processes to participate collaboratively, and demonstrate an understanding of trust and AI within the context of groups.
- Reflect on your individual learning journey to develop an understanding of your learning in the context of future IT applications and career aspirations.
Content
The unit content is based on two main components:
1) Principles of establishing, maintaining and repairing trust between humans and AI systems:
- Understand and critically analyse the cognitive basis of trust
- Understand the essential characteristics of machine intelligence
- Develop an understanding of trust in the context of human-AI interactions
- Examine cases of trust erosion and breakdown, and explore approaches to prevention and remediation
2) How interactions between humans and AI shape beliefs, perceptions, attitudes and behaviours in the real world:
- Explore how the principles can be implemented in AI system design
- Investigate how interactions with AI influence human judgements of trust
Learning Approaches
This unit is designed for asynchronous online study, with activities including numerous short videos and exercises carefully chosen to reinforce key skills and concepts.
Underlying concepts and principles will be examined as case studies of real systems impacting trust and AI. Cases will include contemporary illustrations such as: deceptive AI generated content, social manipulation through AI embedded systems, high stakes Human-AI decision systems, super-intelligent AI systems.
The unit will be delivered in a modular style with opportunities throughout the unit to participate in online discussions with peers and teaching staff.
Assessment is considered to be an integral part of the learning in the unit and provides opportunity for formative feedback.
Feedback on Learning and Assessment
Feedback in this unit is provided to you through ongoing peer and learning facilitator feedback on assessment-related activities throughout the teaching period.
- formative in-class individual and whole-of-class feedback provided by unit staff during discussion activities
- responses to questions posed through the unit communication channel from your peers and teaching staff
- feedback given on your assessment items individually via the rubric and written feedback.
Assessment
Overview
The assessment for this unit is designed to integrate conceptual material on Cognition, Information Interaction, and Information Technologies, within a practical context. Two assessment tasks focus on foundational knowledge, critical understanding of knowledge in context, and application of knowledge. One task will focus on self reflection. Foundational knowledge and self-reflection tasks will include formative components. All tasks are criteria referenced.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Synthesis and Application Task
Critique selected theories and perspectives on trust in AI in regard to ability to maintain, repair and remediate trust in human-AI interactions.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Research Report
Design an experiment based on trust and AI that will analyse data from human sources. Report of the experimental design experiment and the analysis of results according to methods and techniques taught during the unit, and link to core principles.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Reflective Practice Journal with recorded reflection
This task has two components: a reflective journal and a short recorded presentation.
The reflective journal will document challenges encountered during the unit, how practice was or should have been changed to overcome them, and strategies for future learning and development. The short recorded presentation will provide a synthesis of your reflections on your learning throughout the semester.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Resources to support your learning in this unit will be provided via the unit Canvas site.
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.IQ14 Graduate Certificate in Business Analysis
- Demonstrate advanced knowledge of the business analysis discipline.
Relates to: Synthesis and Application Task - Critically analyse complex business challenges and opportunities and use creativity and problem-solving skills to generate solutions.
Relates to: Research Report - Work effectively in both self-directed and collaborative contexts.
Relates to: Synthesis and Application Task, Research Report, Reflective Practice Journal with recorded reflection - Critically reflect on the social, cultural, ethical and diversity issues related to business analysis, and more generally the IT field.
Relates to: Reflective Practice Journal with recorded reflection
IQ19 Graduate Diploma in Information Technology
- Demonstrate advanced IT knowledge in one or more IT disciplines.
Relates to: ULO1, Synthesis and Application Task - Critically analyse complex IT problems and opportunities and use creativity and problem-solving skills to generate solutions.
Relates to: ULO1, ULO2, ULO3, Synthesis and Application Task, Research Report, Reflective Practice Journal with recorded reflection - Apply advanced, industry-best practice, IT methods, tools and techniques to develop and implement IT systems, processes and/or software.
Relates to: ULO2, Research Report - Work effectively in both self-directed and collaborative contexts.
Relates to: ULO4, Research Report - Demonstrate developed values, attitudes, behaviours and judgement in professional contexts.
Relates to: ULO5, Reflective Practice Journal with recorded reflection
IQ20 Master of Information Technology
- Demonstrate advanced specialist IT knowledge in at least one information technology discipline
Relates to: ULO1, Synthesis and Application Task - Critically analyse complex IT problems and opportunities and use creativity and problem-solving skills to generate innovative and novel solutions that are convincingly justified.
Relates to: ULO1, ULO2, ULO3, Synthesis and Application Task, Research Report, Reflective Practice Journal with recorded reflection - Integrate advanced, industry-best practice, IT methods, tools and techniques to develop and implement complex IT systems, processes and/or software.
Relates to: ULO2, Research Report - Employ leadership and initiative in both self-directed and collaborative contexts to create value for others
Relates to: ULO4, Research Report - Create positive change through critically reflecting upon and actioning responses to the social, cultural, ethical, sustainability, legal and accessibility issues in the IT field, including how they relate to First Nations Australians and diverse populations.
Relates to: ULO5, Reflective Practice Journal with recorded reflection