DATA305-23S2 (C) Semester Two 2023

Legal, Regulatory, and Policy Considerations Around AI Technologies

15 points

Start Date: Monday, 17 July 2023
End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2023
  • Without academic penalty (including no fee refund): Sunday, 1 October 2023


This course provides students with a basic understanding of the concept of artificial intelligence (AI) and the existing spectrum of AI technologies. It has an easily understandable, lay-person-accessible format, requiring no prior mathematical or computer science knowledge. The course also gives an overview of the evolving AI legal, regulatory, and policy landscape. Upon successful completion of the course, students will possess the necessary technical understanding, research, analytical, problem solving, as well as collaboration and communication skills to tackle legal, regulatory, and policy issues related to the development and societal adoption of AI technologies independently or as member of an interdisciplinary team.

Learning Outcomes

1. Demonstrate understanding of the concept of AI and analytical skills allowing for associating legal, regulatory, and policy issues with relevant technical attributes.
2. Understand, interpret, analyze, and critique the domestic and international AI legal, regulatory, and policy landscape and identify challenges related to AI development and adoption.
3. Explain legal, regulatory, and policy issues to technical and other relevant communities (including indigenous communities) and engage in interdisciplinary and multi-stakeholder collaboration and problem solving (e.g., co- designing laws, regulations, and policies to accommodate AI innovation, or helping AI developers and AI users (virtually every organization is either al- ready using or thinking about using AI!) to comply with the emerging body of AI laws, regulations, and policies).
4. Carry out independent research and demonstrate sound (academic) writing, public speaking, and communication skills, allowing for efficient presentation of research results both in written and oral form.
5. Demonstrate both independent and teamwork skills, facilitating employability with diverse stakeholders in academia, industry, the public sector, indigenous communities, and civil society.”


(1) Any 60 points at 200-level from Schedule C and S to the Bachelor of Data Science; or (2) LAWS101.



For LLB students: LAWS202-206.
For BDataSc and other non-LLB students: N/A.

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 13:00 - 17:00 Wheki 104
17 Jul - 27 Aug
Lecture B
Activity Day Time Location Weeks
01 Monday 13:00 - 17:00 Wheki 104
14 Aug - 27 Aug
Lecture C
Activity Day Time Location Weeks
01 Friday 13:00 - 17:00 Wheki 104
21 Aug - 27 Aug

Timetable Note

This course is co-timetabled with DATA474-23S2.

Course Coordinator

Olivia Erdelyi


—research paper (probably due in week 5, pair/group assessment),
—talk based on the paper (probably in week 6, pair/group assessment),
—multiple choice test (probably in the first week of term 4, or maybe on Friday in week 6 in term 3 if I cannot move it over to term 4, individual assessment).

To be confirmed.

Indicative Fees

Domestic fee $868.00

International fee $4,488.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All DATA305 Occurrences

  • DATA305-23S1 (C) Semester One 2023 - Not Offered
  • DATA305-23S2 (C) Semester Two 2023