Unit rationale, description and aim

As emerging technologies continue to transform industries and societies, computing and data professionals are increasingly expected to demonstrate not only technical expertise but also ethical awareness, cultural sensitivity, and social responsibility.

This unit develops students’ ability to critically engage with professional ethics, legal frameworks, and the broader human implications of technological innovation. Students explore ethical theories, professional standards, and real-world dilemmas to strengthen their capacity for ethical reasoning and sound professional judgment. Learning activities encourage reflection on diverse perspectives and values, including those informed by Australia’s First Peoples’ knowledges and experiences, to support inclusive, equitable, and socially responsible practice. Through critical inquiry and applied learning, students build adaptability, communication, and leadership skills while deepening their understanding of how technology can serve the common good.

The aim of this unit is to prepare students to act with integrity, empathy, and professionalism as ethical leaders in dynamic and evolving digital environments.

2026 10

Campus offering

Find out more about study modes.

Unit offerings may be subject to minimum enrolment numbers.

Please select your preferred campus.

  • Term Mode
  • Semester 2Multi-mode

Prerequisites

Nil

Learning outcomes

To successfully complete this unit you will be able to demonstrate you have achieved the learning outcomes (LO) detailed in the below table.

Each outcome is informed by a number of graduate capabilities (GC) to ensure your work in this, and every unit, is part of a larger goal of graduating from ACU with the attributes of insight, empathy, imagination and impact.

Explore the graduate capabilities.

Critically evaluate ethical theories, professional...

Learning Outcome 01

Critically evaluate ethical theories, professional codes of conduct, and legal frameworks relevant to emerging technologies and their societal impact.
Relevant Graduate Capabilities: GC1, GC9, GC11

Reflect on the social, cultural, and ethical dimen...

Learning Outcome 02

Reflect on the social, cultural, and ethical dimensions of technological innovation, demonstrating awareness of how Aboriginal and Torres Strait Islander knowledges, histories, and experiences can inform inclusive, responsible, and community-centred approaches to professional practice.
Relevant Graduate Capabilities: GC5, GC7, GC12

Communicate ethical positions and professional jud...

Learning Outcome 03

Communicate ethical positions and professional judgments effectively to diverse audiences using appropriate language and modes of engagement.
Relevant Graduate Capabilities: GC3, GC6, GC10

Demonstrate reflective and adaptive professional b...

Learning Outcome 04

Demonstrate reflective and adaptive professional behaviours that foster integrity, empathy, and leadership in dynamic technology environments.
Relevant Graduate Capabilities: GC4, GC8

Content

Topics will include:

  • Ethics, Professionalism, and the Role of Computing
  • Ethical Theories and Decision-Making Frameworks
  • Law, Governance, and Accountability in Digital Innovation
  • Bias, Fairness, and Equity in Technology Design
  • Culture, Ethics, and Indigenous Perspectives in Innovation
  • Social Responsibility and Technology for the Common Good
  • Ethical Leadership and Emotional Intelligence
  • Professional Communication and Advocacy
  • Intercultural Collaboration and Digital Citizenship
  • Sustainability and Emerging Ethical Frontiers
  • Future Technologies and Human Values
  • Professional Identity, Reflective Practice, and Lifelong Learning

Assessment strategy and rationale

The assessment strategy progressively develops students’ ethical awareness, critical reasoning, and professional identity in the context of emerging technologies.

Assessment 1 builds foundational skills in applying ethical theories and professional standards. Assessment 2 extends these through collaborative analysis of an emerging technology’s ethical, cultural, and legal dimensions. Assessment 3 consolidates learning through a reflective portfolio demonstrating growth in ethical awareness, leadership, and professional judgment. Together, the assessments foster critical thinking, communication, and integrity consistent with ACU’s mission and the common good.

To pass the unit, students must demonstrate achievement of every unit learning outcome and obtain a minimum mark of 50% for the unit.

Overview of assessments

Assessment Task 1: Ethical Reasoning and Reflecti...

Assessment Task 1: Ethical Reasoning and Reflection

Students critically analyse real-world scenarios through the lens of ethical frameworks such as utilitarianism, deontology, or virtue ethics, while considering relevant professional codes and Indigenous ethical perspectives. Through reflection on personal and professional values, students demonstrate their understanding of how ethical reasoning guides responsible and inclusive technological practice.

Weighting

30%

Learning Outcomes LO1, LO2
Graduate Capabilities GC1, GC5, GC7, GC9, GC11, GC12

Assessment Task 2: Group Project: Ethical Analys...

Assessment Task 2: Group Project: Ethical Analysis of an Emerging Technology

Working in teams, students research and critically evaluate the ethical, cultural, and legal implications of an emerging technology . They integrate Indigenous and global perspectives to formulate recommendations for responsible innovation and communicate their findings through a professional group presentation and written report.

Weighting

40%

Learning Outcomes LO2, LO3, LO4
Graduate Capabilities GC3, GC4, GC5, GC7, GC9, GC10, GC11, GC12

Assessment Task 3: Professional Identity and Lea...

Assessment Task 3: Professional Identity and Leadership Reflection

Through an individual portfolio, students critically examine their development in ethical awareness, emotional intelligence, and professional communication. They synthesise insights gained from learning activities and teamwork to articulate how integrity, empathy, and adaptive leadership inform their emerging professional identity. 

Weighting

30%

Learning Outcomes LO3, LO4
Graduate Capabilities GC3, GC6, GC8, GC10

Learning and teaching strategy and rationale

This unit uses active and reflective learning to develop students’ ethical awareness, professional judgment, and cultural capability in computing and data science. Learning activities combine guided discussions, case analyses, multimedia resources, and reflective tasks that connect ethical theory with real technological contexts.

Learning progresses from understanding ethical principles and professional codes to applying them in intercultural, community, and industry settings. Students engage with diverse perspectives, including Aboriginal and Torres Strait Islander viewpoints, to strengthen inclusive and socially responsible practice. The strategy promotes continuous reflection through learning journals, peer collaboration, and professional dialogue, enabling students to integrate values, ethics, and leadership into their professional identity.

Representative texts and references

Representative texts and references

Baase, S., & Henry, T. (2018). A gift of fire: Social, legal, and ethical issues in computing (5th ed.). Pearson.

Boddington, P. (2017). Towards a code of ethics for artificial intelligence. Springer. https://doi.org/10.1007/978-3-319-60648-4

Brookshear, J. G., & Brylow, D. (2019). Computer science: An overview (13th ed.). Pearson.

Chithra, N., & Bhambri, P. (2024). Ethics in sustainable technology. In Handbook of technological sustainability (pp. 245–256). CRC Press.

Coonan, E. (2020) Where’s your evidence? Pocket Study Skills, Bloomsbury.

Farayola, O. A., & Olorunfemi, O. L. (2024). Ethical decision-making in IT governance: A review of models and frameworks. International Journal of Science and Research Archive, 11(2), 130–138.

Hartley, P., Dawson, M. & Beckingham, S. (2022). Success in Groupwork. Pocket Study Skills, Bloomsbury

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2

K Akhundov, A. (2025). The role of ethics in modern technology development. Porta Universorum, 1(4), 169–177.

Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501–507. https://doi.org/10.1038/s42256-019-0114-4

Nisan, N., & Schocken, S. (2021). The Elements of Computing Systems (2nd ed.). MIT Press.

Reid, M. (2018). Report Writing. Pocket Study Skills, Bloomsbury

Reynolds, G. (2019). Ethics in information technology (6th ed.). Cengage Learning.

Ribeiro, D., & Varajão, J. (2025). Codes of ethics and conduct in information systems: Towards a unified framework. https://doi.org/10.1007/s11301-025-00521-9

Shapiro, H. (2020). Ethics, Technology, and Engineering: An Introduction (2nd ed.). Cambridge University Press.

Shoolbred, M. & Cooper, H. (2022). Where’s Your Argument? Pocket Study Skills, Bloomsbury

Thomas, G. (2017) Doing Research. Pocket Study Skills, Bloomsbury

Van der Ham, V. (2017). Analysing a Case Study. Pocket Study Skills, Bloomsbury

Vermaas, P., Ammon, S., & Mehnert, W. (2024). Toward a code of conduct for technology ethics practitioners. https://doi.org/10.1080/23299460.2024.2440958

Williams, K. (2022). Getting Critical. Pocket Study Skills, Bloomsbury

Williams, K. & Davis, M. (2017). Referencing and Understanding Plagiarism. Pocket Study Skills, Bloomsbury

Williams, K., Woolliams, M. & Spiro, J. (2020). Reflective Writing. Pocket Study Skills, Bloomsbury

Woodcock, B. & Keaveney, J. (2019). Successful Applications. Pocket Study Skills, Bloomsbury


Standards and Guidelines

Association for Computing Machinery (ACM). (2018). ACM code of ethics and professional conduct. https://www.acm.org/code-of-ethics

Australian Computer Society (ACS). (2022). ACS code of professional conduct. https://www.acs.org.au/memberships/professional-ethics-conduct-and-complaints.html

IEEE Standards Association (2026). Autonomous and Intelligent Systems (AIS). https://ethicsinaction.ieee.org

International Federation for Information Processing (n.d.). IFIP Code of Ethics and Professional Conduct. https://www.ifip.org/ifip-code-of-ethics/

Locations
Credit points
Year

Have a question?

We're available 9am–5pm AEDT,
Monday to Friday

If you’ve got a question, our AskACU team has you covered. You can search FAQs, text us, email, live chat, call – whatever works for you.

Live chat with us now

Chat to our team for real-time
answers to your questions.

Launch live chat

Visit our FAQs page

Find answers to some commonly
asked questions.

See our FAQs