Overview

This unit enables students to understand the problems with sentencing decision-making and the role of artificial intelligence in sentencing. Students will acquire a comprehensive knowledge and understanding of the role of big data in law enforcement and how the internet is increasingly used as both a tool to commit and detect crime. A key aspect of the unit involves analysing the role that technology can have in developing new criminal sanctions, especially in the context of alternatives to prison and community corrections orders.

Requisites

Prerequisites
LAW10010 Introduction to Australian Law and Statutory Interpretation

Rule

LAW10021 Introduction to Law
AND
LAW10024 Criminal Law and Process
AND
75 Credit Points
OR
LAW10010 Introduction to Australian Law and Statutory Interpretation
AND
LAW10015 Criminal Law and Procedure
AND
75 Credit points

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Teaching Period 1
Location
Online
Start and end dates
10-March-2025
08-June-2025
Last self-enrolment date
23-March-2025
Census date
04-April-2025
Last withdraw without fail date
02-May-2025
Results released date
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025
Teaching Period 3
Location
Online
Start and end dates
03-November-2025
08-February-2026
Last self-enrolment date
16-November-2025
Census date
28-November-2025
Last withdraw without fail date
02-January-2026
Results released date

Learning outcomes

Students who successfully complete this unit will be able to:

  • Analyse sentencing problems and evaluate the role of technology in sentencing decision-making
  • Evaluate the use of artificial intelligence in law enforcement activities
  • Explain the application and role of big data in responses to crime
  • Reflect on the role of technology in developing new criminal sanctions

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Class
2.00 12 weeks 24
Online
Lecture
1.00 12 weeks 12
Unspecified Activities
Independent Learning
9.50 12 weeks 114
TOTAL150

Assessment

Type Task Weighting ULO's
AssessmentIndividual 50 - 60% 1,2,3,4 
AssignmentIndividual 40 - 50% 1,2,3,4 

Content

  • Problems with sentencing decision-making and the role of artificial intelligence in sentencing
  • Law enforcement and artificial intelligence
  • Technology, crime detection and threats to privacy and other rights
  • The internet and the commission of crime
  • Big data as an aid in detecting crime
  • Crypto networks and crime
  • Technology and criminal sanctions
  • The internet and prisoner access and usage
  • Monitoring offenders using technology
  • Technological sanctions as a substitute to incarceration

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.