ARTIFICIAL INTELLIGENCE AND THE LAW
LAW5AIL
2019
Credit points: 15
Subject outline
In this subject, students will examine the legal, ethical and regulatory issues unique to new and emerging technologies that incorporate artificial intelligence, such as internet governance, compliance by design, and the overlap of artificial intelligence and intellectual property law. Students will also be encouraged to discover and develop the skill set necessary to critically analyse the potential for civil and/or criminal liability relating to emerging technologies.
School: La Trobe Law School
Credit points: 15
Subject Co-ordinator: David Watts
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: Must be enrolled in LMJD or LML or LMLGBL or LMCL or LMLAW or LMLE or have permission of the Law School Director of Postgraduate (Coursework) Programs.
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | A range of resource materials though the LMS | Recommended | Various | Various |
Graduate capabilities & intended learning outcomes
01. Critically examine current opportunities and risks posed by new and emerging technologies.
- Activities:
- Seminars, problem-solving assignment, online class exercises, take home exam
02. Develop and articulate expert knowledge of the legal, business, ethical and technology issues unique to artificial intelligence and emerging technologies
- Activities:
- Seminars, problem-solving assignment, online class exercises, take home exam
03. Effectively and astutely communicate with non-specialist audiences complex knowledge, skills and ideas relating to artificial intelligence, emerging technologies and law.
- Activities:
- Seminars, problem-solving assignment
04. Critically reflect on a range of approaches taken in a given fact situation to protect a clients new AI venture.
- Activities:
- Seminars, online class exercises, take home exam.
City Campus, 2019, Semester 2, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: David Watts
Class requirements
Lecture/SeminarWeek: 31 - 43
One 2.0 hours lecture/seminar per week on weekdays during the day from week 31 to week 43 and delivered via blended.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Online Class Exercises (1000 words equivalence) | 20 | 01, 02, 04 | |
| Problem Solving Assignment (1500 words equivalence) | 30 | 01, 02, 03 | |
| Take-home examination (3000 words equivalence) | 50 | 01, 02, 04 |