Unit rationale, description and aim
The rise of artificial intelligence (AI), particularly large language models (LLMs), in recent years has seen organisations race to adopt this emerging technology. Organisational leaders in all sectors are seeking ways to embrace AI to enhance productivity across all business functions and ultimately enhance profitability. However, the use of AI is not always considered or strategic, leading to organisations implementing AI quickly without a well-considered plan. Emerging professionals are expected to have an understanding of AI and how it can be used to support their work and enhance their individual productivity.
This unit focuses on exploring how AI can be used to enhance organisational productivity and profitability while creating value for all stakeholders. Students examine AI applications across various industries and business functions to develop a holistic understanding of its strategic and meaningful use. As AI increasingly intersects with analytics, digital innovation, and strategic business practices, this unit provides a foundation for subsequent coursework in these areas, ensuring students are equipped to leverage AI as a transformative tool in modern business contexts.
Campus offering
No unit offerings are currently available for this unit.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.
Apply artificial intelligence principles in busine...
Learning Outcome 01
Identify and discuss how artificial intelligence i...
Learning Outcome 02
Collaborate effectively to explore and propose app...
Learning Outcome 03
Content
Topics will include:
- Introduction to artificial intelligence and large language models
- Strategic use of artificial intelligence
- When to and when not to use artificial intelligence in its current form
- Writing effective prompts for artificial intelligence large language models
- Using artificial intelligence in different business functions
- Leading the adoption of artificial intelligence in an organisation
- Artificial intelligence across various business contexts
- The dark side of artificial intelligence
- Developing and pitching business strategies
Assessment strategy and rationale
To pass this unit, students are required to complete and submit three graded assessment tasks and achieve an aggregate mark of at least 50%. Marking will be in accordance with rubrics specifically developed to measure levels of achievement of the learning outcomes for each assessment item.
The assessment strategy for this unit allows students to demonstrate their knowledge of how artificial intelligence works in real world business contexts and across different business functions. The first assessment allows students to demonstrate their understanding of how AI works and its specific use in a single business discipline. Students expand on this with assessment 2, where they analyse an organisational situation and explain how AI could benefit an organisation. In assessment 3, students' synthesis their learnings across the unit and work collaboratively to demonstrate how AI could be adopted across an entire organisation to enhance productivity and outcomes for each business function.
Overview of assessments
Assessment Task 1 - AI Brief: Students prepare a...
Assessment Task 1 - AI Brief: Students prepare an 800-word proposal on a real world problem that can be addressed by AI is and how it can be used in a business context of their choice.
Mode: Individual
submission: proposal
25%
Assessment Task 2 - Business Pitch: Requires stu...
Assessment Task 2 - Business Pitch: Requires students to record a five-minute presentation pitching the use of AI to the executive team of an organisation in response to an organsiational analysis.
Mode: Individual
submission: business pitch
35%
Assessment Task 3 - AI Report and solution: stud...
Assessment Task 3 - AI Report and solution: student will prepare a 2500-word analytical report briefing the executive team of an organisation on how AI could be adopted across the organisation. They should submit the program related to applying the available AI tools to address the problem of their choice with their submission.
Mode: Group
submission: report and program
40%
Learning and teaching strategy and rationale
Students should anticipate undertaking 150 hours of study for this unit over a twelve-week semester or equivalent study period, including class attendance, readings, online forum participation and assessment preparation.
This unit may be offered in “Attendance” and/or “Online” mode to cater for the learning needs and preferences of a range of participants.
Attendance Mode
Students will require face-to-face attendance in blocks of time determined by the school. Students will have face-to-face interactions with lecturer(s) to further their achievement of the learning outcomes. This unit is structured with required upfront preparation before workshops. The online learning platforms used in this unit provide multiple forms of preparatory and practice opportunities for students to prepare and revise.
Online Mode
This unit utilises an active learning approach whereby students will engage in e-module activities, readings and reflections, and opportunities to collaborate with peers in an online environment. This can involve, but is not limited to, online workshops, online discussion forums, chat rooms, guided reading, and webinars. Pre-recorded lectures will be incorporated within the online learning environment and e-modules. In addition, electronic readings will be provided to guide students’ reading and extend other aspects of online learning.