law5ail artificial intelligence and the law

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.

SchoolLa Trobe Law School

Credit points15

Subject Co-ordinatorDavid Watts

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

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-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsA range of resource materials though the LMSRecommendedVariousVarious

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.

Subject options

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Start date between: and    Key dates

City Campus, 2019, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorDavid 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 elementComments%ILO*
Online Class Exercises (1000 words equivalence)2001, 02, 04
Problem Solving Assignment (1500 words equivalence)3001, 02, 03
Take-home examination (3000 words equivalence)5001, 02, 04