Program Overview

Course Profile

General Course Information

1.1 Course Details

• Course code: LLAW3113
• Course name: Topics in technology law
• Programme offered under: LLB Programme
• Semester: Second
• Designated research course: Not applicable
• Specialization: Not applicable
• Prerequisites / Co-requisites: No
• Course offered to non-law students: No
• Credit point value: 6 credits

1.2 Course Description

This course examines the cutting-edge technology law issues in the age of social media and artificial intelligence. It focuses on the following three areas of technology law:

• Legal protection of personal data
• Legal regulation of algorithms
• Intellectual property and artificial intelligence systems Each area of study will deal with the relevant legal and policy considerations. For example, we will discuss the extent to which personal data and intellectual property rights could impact the development of artificial intelligence systems, and will also explore whether and why intellectual property law should protect the creations generated by artificial intelligence systems.

1.3 Course Teachers

• Name: Haochen Sun
  • Office: CCT 307
  • Consultation: By email

Learning Outcomes

2.1 Course Learning Outcomes (CLOs) for this course

• CLO 1: Understand the nature and scope of personal data rights.
• CLO 2: Examine how to develop legal standards for regulating algorithms.
• CLO 3: Know how intellectual property protection would impact the development and application of artificial intelligence technologies.

2.2 LLB Programme Learning Outcomes (PLOs)

Please refer to the programme's learning outcomes for more information.

2.3 Programme Learning Outcomes to be achieved in this course

Assessment(s)

3.1 Assessment Summary

• Assessment task: Class participation (10%) and Research essay (90%)
• Feedback method: To be determined by the course teacher
• Course learning outcomes: 1, 2, 3

3.2 Assessment Detail

To be advised by the convenor(s).

3.3 Grading Criteria

To be advised by the convenor(s).

Learning Activities

4.1 Learning Activity Plan

• Seminar: 3 hours/week for 12 teaching weeks
• Private study time: 9.5 hours/week for 12 teaching weeks

4.2 Details of Learning Activities

To be advised by the convenor(s).

Learning Resources

5.1 Resources

• Reading materials: Posted on Moodle
• Core reading list: To be advised
• Recommended reading list: To be advised

5.2 Links

To be advised by the convenor(s).