Key facts

UNE unit code: LLM580

*You are viewing the 2026 version of this unit which may be subject to change in future.

Start
  • Trimester 2 - Online
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • Yes
Credit points
  • 6

Unit information

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Artificial intelligence and data-driven technologies pose significant challenges to legal systems, regulatory frameworks, and long-held assumptions regarding rights, responsibility, and risk. This unit delves into the response of law, policy, and ethics to rapid technological change, with a specific focus on artificial intelligence, data, and intellectual property.

Core legal issues examined include privacy, human rights, authenticity, liability, and the broader implications of artificial intelligence for humanity. The unit equips students with the ability to apply rigorous legal-analytical and empirical research methods to critique, interpret, and communicate complex issues at the intersection of technology, society, and governance.

This unit develops advanced skills in comprehending the legal, regulatory, and innovation frameworks that influence the deployment of emerging technologies. It prepares students to engage effectively with regulatory debates, policy-making, and practical legal applications involving artificial intelligence. Furthermore, it fosters the development of principled, innovative, and actionable policy or legal solutions that prioritise ethics, sustainability, and institutional constraints.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Trimester 2Online

*Offering is subject to availability

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
candidature in a postgraduate award

Notes

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

Mark Perry

Learning outcomes

Upon completion of this unit, students will be able to:

  1. demonstrate advanced understanding of the legal, regulatory and innovation frameworks (particularly in AI, data and intellectual property) that shape the deployment of emerging technologies;
  2. apply rigorous legal-analytical and empirical research methods to critique, interpret and communicate complex issues at the intersection of technology, society and governance, drawing on both doctrinal and non-doctrinal approaches; and
  3. synthesise interdisciplinary knowledge to develop principled, innovative and actionable legal or policy solutions for complex, real-world challenges in AI and biotechnology, with attention to ethics, sustainability and institutional constraints.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Assessment 1: The Deepfake TribunalYes30%All offerings

Up to 15 minutes oral presentation

Assessment 2: The Inversion BriefYes40%All offerings

Use AI to produce legal arguments.

No words. 2500

Assessment 3: Reverse Prompt Assembly + AI DefenceYes30%All offerings

Video Presentation

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Textbook information will be displayed approximately 8 weeks prior to the commencement of the teaching period. Please note that textbook requirements may vary from one teaching period to the next.

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