top of page

MPL506 Predictive Policing and Intelligence Machines

DESCRIPTION 

This unit takes a balanced and sustained critical look at the benefits and risks inherent in how predictive policing uses intelligence machines based on algorithmic programming to identify, predict, and prevent future crimes. The aim of the unit is for students to develop a hybrid approach to use of predictive policing technologies in the form of a state-of-the-art briefing paper for police policy development and leadership, especially regarding AI’s interface with counterterrorism. 


RELEVANT COURSES 

Master of Police Leadership 

Graduate Diploma of Police Leadership 

Graduate Certificate in Police Leadership 

Graduate Certificate in Police Leadership (Cybersecurity) 


CREDIT POINTS 

10 


DELIVERY MODES 

On campus 

Online 

Mixed mode 


PREREQUISITE OR CO-REQUISITE

MPL400 Advanced Policing and Essential Services 


UNIT LEARNING OUTCOMES 

ULO1 Reflect on and critique various contexts of policing and its interface with predictive policing

ULO2 Demonstrate mastery of key processes in policing and their impact on the predictive policing

ULO3 Communicate and critically analyse leadership challenges and strategies in relation to predictive policing and intelligence machines 

ULO4 Develop a strategic leadership approach to predictive policing in helping to solve a range of complex crime scenarios

ULO5 Demonstrate advanced leadership skills in the field of predictive policing and intelligence machines 


CONTENT 

  • Governance, ethics and strategy in predictive policing

  • Practical and theoretical critiques

  • Artificial Intelligence, accountability and risk management

  • Pros and cons of ‘place-based’ predictive policing technologies

  • Pros and cons of ‘person-based’ predictive policing technologies

  • Developing a hybrid approach


ASSESSMENT METHODS 

  1. Reflective Journal – 20% 

  2. Multimedia Presentation – 30% 

  3. Analytical Report – 50% 


PRESCRIBED TEXT 

  • Beck, R. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology. (4). 209-37. https://doi.org/10.1146/annurev-criminol-051520-012342

  • Halterlein, J. (2021). Epistemologies of predictive policing: Mathematical social science, social physics and machine learning. Big Data & Society. January, 1-13. DOI: 10.1177/20539517211003118 


Check with the lecturer each semester before purchasing any textbooks.

bottom of page