Digital Trust and Inclusion
Duration
- One Semester or equivalent
Contact hours
- 78 Hours
On-campus unit delivery combines face-to-face and digital learning.
Aims and objectives
This unit Students will learn about the legal, professional and ethical responsibilities of information Industry 4.0 through real-world scenarios to become familiar with approaches to data governance, information management and the future adoption of technologies such as the ethical and responsible use of Artificial Intelligence.
The unit will also cover aspects of the world of work that students should be aware which includes cultural awareness in the workplace, gender diversity and inclusion.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Demonstrate an understanding on the current and future challenges of Industry 4.0 in the context of data governance and policy in a national and global sense.
2. Research and critically evaluate the impact of Industry 4.0 processes and the use of current and emerging technologies.
3. Identify the opportunities for social, sustainable and corporate in the adoption of artificial intelligence and the challenges associated with it.
4. Investigate and document on an ethical and societal issue within the context of the world of work
5. Demonstrate an ability to communicate and work effectively as a leader and with peers.
The unit will also cover aspects of the world of work that students should be aware which includes cultural awareness in the workplace, gender diversity and inclusion.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Demonstrate an understanding on the current and future challenges of Industry 4.0 in the context of data governance and policy in a national and global sense.
2. Research and critically evaluate the impact of Industry 4.0 processes and the use of current and emerging technologies.
3. Identify the opportunities for social, sustainable and corporate in the adoption of artificial intelligence and the challenges associated with it.
4. Investigate and document on an ethical and societal issue within the context of the world of work
5. Demonstrate an ability to communicate and work effectively as a leader and with peers.
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
| Learning and Teaching Structure | ||
| Learning Activity | Duration/Location | Hours |
| Scheduled hours |
|
|
| Face to Face Contact | 6 weeks of classes (13 hours per week) Lab 1 3hrs x 6 weeks Lab 2 3hrs x 6 weeks Lab 3 4hrs x 6 weeks Lab 4 3hrs x 6 weeks | 78 |
| Unspecified Learning Activities (includes independent study, assignment preparation, revision) |
| 72
|
| TOTAL |
| 150 |
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Assignments | Individual | 40-60% | 1,2,4 |
| Case Study | Individual | 30-40% | 1,2,4 |
| Research Presentation | Group | 10-20% | 2,3,5 |
General skills outcomes
During this unit students will receive feedback on the following key generic skills:
• Teamwork Skills
• Problem Solving Skills
• Analysis Skills
• Communication Skills
• Ability to tackle unfamiliar problems
• Ability to work independently
• Teamwork Skills
• Problem Solving Skills
• Analysis Skills
• Communication Skills
• Ability to tackle unfamiliar problems
• Ability to work independently
Content
• Fundamental ethical notions (virtues, duty, responsibility, harm, benefit, rights, respect and consequences)
• Integrity Systems (Code of Conduct, WHS, Whistle Blowing)
• Gender Diversity and Inclusion
• Non-Disclosure Agreements
• Intellectual Property
• Data Governance
• Responsible AI (Compliance, Bias, Governance)
• Ethical Issues of I4.0
• Artificial Intelligence for Productivity
• Integrity Systems (Code of Conduct, WHS, Whistle Blowing)
• Gender Diversity and Inclusion
• Non-Disclosure Agreements
• Intellectual Property
• Data Governance
• Responsible AI (Compliance, Bias, Governance)
• Ethical Issues of I4.0
• Artificial Intelligence for Productivity
Study resources
- References.
References
A list of reading materials and/or required texts will be made available in the Unit Outline.