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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.
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.
DATA416
For LLB students: LAWS202-206. For BDataSc and other non-LLB students: N/A.
This course is co-timetabled with DATA474-23S2.
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.
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 .