Course Title: Future Skills: Developing AI Strategy and Cyber Security Risk and Governance

Part A: Course Overview

Course Title: Future Skills: Developing AI Strategy and Cyber Security Risk and Governance

Credit Points: 12.00

Important Information:

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Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JanJun2020 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JulDec2020 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JanJun2021 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JulDec2021 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JanJun2022 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JulDec2022 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JanJun2023 (All)
LAW2573	City Campus	Postgraduate	660H Graduate School of Business and Law	Internet	JulDec2023 (All)

Course Coordinator: Dr Daniel Hochstrasser

Course Coordinator Phone: +61 3 9925 5574

Course Coordinator Email: Daniel.hochstrasser@rmit.edu.au

Course Coordinator Location: Building 13, Melbourne City Campus.

Course Coordinator Availability: Contact by email for appointment.

Pre-requisite Courses and Assumed Knowledge and Capabilities

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Course Description

This course offers a learning experience that includes two of RMIT Online’s Future Skills short courses: Developing Artificial Intelligence (AI) Strategy and Cyber Security Risk and Governance. This learning experience delves into AI technology and its associated impacts on our society and organisations. These include the challenges and risks AI technology can present, and how effective cyber security governance can help appropriately manage these risks and others presented by emerging technologies.

The Developing Artificial Intelligence Strategy component will equip you with a deep understanding of AI and effective strategies, frameworks and approaches to navigate this emerging technology area and its applications within organisations and society. You will cover the various areas of AI, including machine learning, deep learning, natural language processing and voice recognition. The potential challenges, limitations, and opportunities for AI adoption will be explored from a legal and regulatory perspective.

The Cyber Security Risk and Governance component will expose you to the importance of cyber security and the theory and practices of good governance. It will cover key risk management frameworks, including how to apply these frameworks to assess and manage risks in a business. You will deep dive into the stages of cyber security management including prevention, protection and response, and disclosure responsibilities and requirements.

Objectives/Learning Outcomes/Capability Development

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On successful completion of this course you will be able to:

CLO1 Critically analyse the fundamentals and ethics of AI & Machine Learning to identify appropriate solutions to business problems and the associated challenges, limitations and opportunities.

CLO2 Examine and evaluate the effect of AI and cyber security on commercial operations and consider legal and regulatory threats to recommend risk mitigation strategies and approaches.

CLO3 Formulate and communicate plans to mitigate the legal, regulatory, and commercial risks from a cyber security breach.

CLO4 Critically evaluate the importance of governance theories and frameworks for modern businesses exposed to opportunities and risks associated with emerging technologies.

Overview of Learning Activities

This course uses highly structured learning activities to guide your learning process and prepare you for your assessments. The activities are a combination of individual, peer-supported and facilitator-guided activities, and where possible project-led, with opportunities for feedback throughout. 

Authentic and industry-relevant learning is critical to this course and you will be encouraged to critically compare and contrast what is happening in your context and in industry, and to use your insights. 

Social learning is another important component and you are expected to participate in class and group activities, share drafts of work and resources and give and receive peer feedback. You will be expected to work efficiently and effectively with others to achieve outcomes greater than those that you might have achieved alone. 

The learning activities enable you to understand course learning resources and apply that learning to improve your own practice, for example by producing real-world artefacts and engaging in scenarios and case studies. 

This course will be delivered online via RMIT Online (in-house).

Overview of Learning Resources

Each learning activity contains the core resources, such as videos, podcasts, readings, templates, articles, industry tools and/or communities that you need to complete that activity, or links to those resources. 

Additional learning resources designed into the course will be clearly marked as supplemental. If your course teaching team finds additional resources during course delivery which they think can support or be of interest to the class cohort, these will be made available as required during the teaching period. 

In your class environment, besides your learning activities you will also find: 

• All assessment briefs 
• A course information page with a study schedule 
• Various communication tools to facilitate collaboration with your peers and facilitators, and to share information 

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows.

Assessment Task 1: 50%
Linked CLOs: 1, 2

Assessment Task 2: 50%
Linked CLOs: 3, 4

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.